A Classifier of Malicious Android Applications. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio (ARES, 2013)

A Case Study of Automating User Experience-Oriented Performance Testing on Smartphones. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio; Mauro D'Angelo; Antonio Furno; Carminantonio Manganelli (ICST, 2013)

Identification of Anomalies in Processes of Database Alteration. - Francesco Mercaldo (ICST, 2013)

Detection of Malicious Web Pages Using System Calls Sequences. - Gerardo Canfora; Eric Medvet; Francesco Mercaldo; Corrado Aaron Visaggio (CD-ARES, 2014)

Malicious JavaScript Detection by Features Extraction. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio (e Informatica Softw. Eng. J., 2014)

Metamorphic Malware Detection Using Code Metrics. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio; Paolo Di Notte (Inf. Secur. J. A Glob. Perspect., 2014)

Effectiveness of Opcode ngrams for Detection of Multi Family Android Malware. - Gerardo Canfora; Andrea De Lorenzo; Eric Medvet; Francesco Mercaldo; Corrado Aaron Visaggio (ARES, 2015)

Composition-Malware: Building Android Malware at Run Time. - Gerardo Canfora; Francesco Mercaldo; Giovanni Moriano; Corrado Aaron Visaggio (ARES, 2015)

Evaluating Op-Code Frequency Histograms in Malware and Third-Party Mobile Applications. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio (ICETE (Selected Papers), 2015)

Evaluating Mobile Malware by Extracting User Experience-Based Features. - Francesco Mercaldo; Corrado Aaron Visaggio (PROFES, 2015)

Mobile Malware Detection using Op-code Frequency Histograms. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio (SECRYPT, 2015)

Detecting Android malware using sequences of system calls. - Gerardo Canfora; Eric Medvet; Francesco Mercaldo; Corrado Aaron Visaggio (DeMobile@SIGSOFT FSE, 2015)

Spotting the Malicious Moment: Characterizing Malware Behavior Using Dynamic Features. - Alberto Ferrante; Eric Medvet; Francesco Mercaldo; Jelena Milosevic; Corrado Aaron Visaggio (ARES, 2016)

Exploring the Usage of Topic Modeling for Android Malware Static Analysis. - Eric Medvet; Francesco Mercaldo (ARES, 2016)

Ransomware Inside Out. - Francesco Mercaldo; Vittoria Nardone; Antonella Santone (ARES, 2016)

Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection. - Gerardo Canfora; Eric Medvet; Francesco Mercaldo; Corrado Aaron Visaggio (IWSPA@CODASPY, 2016)

Ransomware Steals Your Phone. Formal Methods Rescue It. - Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (FORTE, 2016)

Process Mining Meets Malware Evolution: A Study of the Behavior of Malicious Code. - Mario Luca Bernardi; Marta Cimitile; Francesco Mercaldo (CANDAR, 2016)

A Methodology for Silent and Continuous Authentication in Mobile Environment. - Gerardo Canfora; Paolo Di Notte; Francesco Mercaldo; Corrado Aaron Visaggio (ICETE (Selected Papers), 2016)

Identification of Android Malware Families with Model Checking. - Pasquale Battista; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (ICISSP, 2016)

Download malware? no, thanks: how formal methods can block update attacks. - Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (FormaliSE@ICSE, 2016)

Mobile malware detection in the real world. - Francesco Mercaldo; Corrado Aaron Visaggio; Gerardo Canfora; Aniello Cimitile (ICSE (Companion Volume), 2016)

Exploring Mobile User Experience Through Code Quality Metrics. - Gerardo Canfora; Andrea Di Sorbo; Francesco Mercaldo; Corrado Aaron Visaggio (PROFES, 2016)

A constraint-driven approach for dynamic malware detection. - Mario Luca Bernardi; Marta Cimitile; Damiano Distante; Francesco Mercaldo (PST, 2016)

I find your behavior disturbing: Static and dynamic app behavioral analysis for detection of Android malware. - Fabio Martinelli; Francesco Mercaldo; Andrea Saracino; Corrado Aaron Visaggio (PST, 2016)

How I Met Your Mother? - An Empirical Study about Android Malware Phylogenesis. - Gerardo Canfora; Francesco Mercaldo; Antonio Pirozzi; Corrado Aaron Visaggio (SECRYPT, 2016)

Silent and Continuous Authentication in Mobile Environment. - Gerardo Canfora; Paolo Di Notte; Francesco Mercaldo; Corrado Aaron Visaggio (SECRYPT, 2016)

Hey Malware, I Can Find You! - Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (WETICE, 2016)

An HMM and structural entropy based detector for Android malware: An empirical study. - Gerardo Canfora; Francesco Mercaldo; Corrado Aaron Visaggio (Comput. Secur., 2016)

Malware and Formal Methods: Rigorous Approaches for detecting Malicious Behaviour. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (ARES, 2017)

Let's Gossip: Exploring Malware Zero-Day Time Windows by Social Network Analysis. - Fiammetta Marulli; Francesco Mercaldo (AINA Workshops, 2017)

Tor traffic analysis and detection via machine learning techniques. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo; Gianni Viardo Vercelli (IEEE BigData, 2017)

How Discover a Malware using Model Checking. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (AsiaCCS, 2017)

BRIDEMAID: An Hybrid Tool for Accurate Detection of Android Malware. - Fabio Martinelli; Francesco Mercaldo; Andrea Saracino (AsiaCCS, 2017)

Extinguishing Ransomware - A Hybrid Approach to Android Ransomware Detection. - Alberto Ferrante; Miroslaw Malek; Fabio Martinelli; Francesco Mercaldo; Jelena Milosevic (FPS, 2017)

A fuzzy-based process mining approach for dynamic malware detection. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (FUZZ-IEEE, 2017)

Car hacking identification through fuzzy logic algorithms. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (FUZZ-IEEE, 2017)

Machine Learning Meets iOS Malware: Identifying Malicious Applications on Apple Environment. - Aniello Cimitile; Fabio Martinelli; Francesco Mercaldo (ICISSP, 2017)

Identifying Mobile Repackaged Applications through Formal Methods. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (ICISSP, 2017)

Model Checking for Mobile Android Malware Evolution. - Aniello Cimitile; Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Gigliola Vaglini (FormaliSE@ICSE, 2017)

Game Bot Detection in Online Role Player Game through Behavioural Features. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (ICSOFT, 2017)

A Machine Learning Approach for Game Bot Detection Through Behavioural Features. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (ICSOFT (Selected Papers), 2017)

Evaluating Convolutional Neural Network for Effective Mobile Malware Detection. - Fabio Martinelli; Fiammetta Marulli; Francesco Mercaldo (KES, 2017)

Diabetes Mellitus Affected Patients Classification and Diagnosis through Machine Learning Techniques. - Francesco Mercaldo; Vittoria Nardone; Antonella Santone (KES, 2017)

A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware. - Mario Faiella; Antonio La Marra; Fabio Martinelli; Francesco Mercaldo; Andrea Saracino; Mina Sheikhalishahi (PDP, 2017)

R-PackDroid: API package-based characterization and detection of mobile ransomware. - Davide Maiorca; Francesco Mercaldo; Giorgio Giacinto; Corrado Aaron Visaggio; Fabio Martinelli (SAC, 2017)

Mobile Silent and Continuous Authentication using Apps Sequence. - Gerardo Canfora; Giovanni Cappabianca; Pasquale Carangelo; Fabio Martinelli; Francesco Mercaldo; Ernesto Rosario Russo; Corrado Aaron Visaggio (SECRYPT, 2017)

Android apps and user feedback: a dataset for software evolution and quality improvement. - Giovanni Grano; Andrea Di Sorbo; Francesco Mercaldo; Corrado Aaron Visaggio; Gerardo Canfora; Sebastiano Panichella (WAMA@ESEC/SIGSOFT FSE, 2017)

Formal Methods Meet Mobile Code Obfuscation Identification of Code Reordering Technique. - Aniello Cimitile; Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (WETICE, 2017)

A time series classification approach to game bot detection. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (WIMS, 2017)

Detection of Obfuscation Techniques in Android Applications. - Alessandro Bacci; Alberto Bartoli; Fabio Martinelli; Eric Medvet; Francesco Mercaldo (ARES, 2018)

A Formal Methodology for Notational Analysis and Real-Time Decision Support in Sport Environment. - Giovanni Capobianco; Umberto Di Giacomo; Francesco Mercaldo; Antonella Santone (IEEE BigData, 2018)

Improving Machine Learning Tools with Embeddings: Applications to Big Data Security. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (IEEE BigData, 2018)

Measuring Mobile Applications Quality and Security in Higher Education. - Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE BigData, 2018)

POSTER: A Framework for Phylogenetic Analysis in Mobile Environment. - Fabio Martinelli; Francesco Mercaldo; Andrea Saracino (AsiaCCS, 2018)

An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (FUZZ-IEEE, 2018)

A Novel Structural-Entropy-based Classification Technique for Supporting Android Ransomware Detection and Analysis. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (FUZZ-IEEE, 2018)

Not so Crisp, Malware! Fuzzy Classification of Android Malware Classes. - Francesco Mercaldo; Andrea Saracino (FUZZ-IEEE, 2018)

Applying Deep Learning Techniques to CAN Bus Attacks for Supporting Identification and Analysis Tasks. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (ICETE (2), 2018)

Phylogenetic Analysis for Ransomware Detection and Classification into Families. - Fabio Martinelli; Francesco Mercaldo; Christina Michailidou; Andrea Saracino (ICETE (2), 2018)

Impact of Code Obfuscation on Android Malware Detection based on Static and Dynamic Analysis. - Alessandro Bacci; Alberto Bartoli; Fabio Martinelli; Eric Medvet; Francesco Mercaldo; Corrado Aaron Visaggio (ICISSP, 2018)

VizMal: A Visualization Tool for Analyzing the Behavior of Android Malware. - Alessandro Bacci; Fabio Martinelli; Eric Medvet; Francesco Mercaldo (ICISSP, 2018)

Identifying Insecure Features in Android Applications using Model Checking. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone (ICISSP, 2018)

Who's Driving My Car? A Machine Learning based Approach to Driver Identification. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Albina Orlando; Antonella Santone (ICISSP, 2018)

Cluster Analysis for Driver Aggressiveness Identification. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Albina Orlando; Antonella Santone (ICISSP, 2018)

Detecting and Analyzing Anomalies Across Historical Data Changes: A Data-Driven Approach. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (ICTAI, 2018)

Applying Machine Learning Techniques to Detect and Analyze Web Phishing Attacks. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (iiWAS, 2018)

Driver Identification: a Time Series Classification Approach. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (IJCNN, 2018)

Context-Awareness Mobile Devices for Traffic Incident Prevention. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Albina Orlando; Antonella Santone (PerCom Workshops, 2018)

Real-Time Driver Behaviour Characterization Through Rule-Based Machine Learning. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Gigliola Vaglini (SAFECOMP Workshops, 2018)

Improving Vehicle Safety Through a Fog Collaborative Infrastructure. - Gianpiero Costantino; Fabio Martinelli; Ilaria Matteucci; Francesco Mercaldo (SMARTCOMP, 2018)

Safety Critical Systems Formal Verification Using Execution Traces. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Albina Orlando; Antonella Santone; Gigliola Vaglini (WETICE, 2018)

R-PackDroid: Practical On-Device Detection of Android Ransomware. - Michele Scalas; Davide Maiorca; Francesco Mercaldo; Corrado Aaron Visaggio; Fabio Martinelli; Giorgio Giacinto (CoRR, 2018)

Talos: no more ransomware victims with formal methods. - Aniello Cimitile; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (Int. J. Inf. Sec., 2018)

Cross-Organisational Process Mining in Cloud Environments. - Mario Luca Bernardi; Marta Cimitile; Francesco Mercaldo (J. Inf. Knowl. Manag., 2018)

Evaluating model checking for cyber threats code obfuscation identification. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Arun Kumar Sangaiah; Aniello Cimitile (J. Parallel Distributed Comput., 2018)

Experimenting and assessing machine learning tools for detecting and analyzing malicious behaviors in complex environments. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo; Giorgio Mario Grasso (J. Reliab. Intell. Environ., 2018)

An exploratory study on the evolution of Android malware quality. - Francesco Mercaldo; Andrea Di Sorbo; Corrado Aaron Visaggio; Aniello Cimitile; Fabio Martinelli (J. Softw. Evol. Process., 2018)

A Methodology for Real-Time Data Verification exploiting Deep Learning and Model Checking. - Giovanni Capobianco; Umberto Di Giacomo; Tommaso Di Tusa; Francesco Mercaldo; Antonella Santone (IEEE BigData, 2019)

A Model Checking based Proposal for Mobile Colluding Attack Detection. - Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE BigData, 2019)

User Authentication through Keystroke Dynamics by means of Model Checking: A Proposal. - Fabio Di Tommaso; Michele Guerra; Fabio Martinelli; Francesco Mercaldo; Massimo Piedimonte; Giovanni Rosa; Antonella Santone (IEEE BigData, 2019)

A Data Life Cycle Modeling Proposal by Means of Formal Methods. - Madalina G. Ciobanu; Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (AsiaCCS, 2019)

Investigating Mobile Applications Quality in Official and Third-party Marketplaces. - Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ENASE, 2019)

Can Machine Learning Predict Soccer Match Results? - Giovanni Capobianco; Umberto Di Giacomo; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (ICAART (2), 2019)

An Innovative Framework for Supporting Social Network Polluting-content Detection and Analysis. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (ICEIS (2), 2019)

Spyware Detection using Temporal Logic. - Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (ICISSP, 2019)

Model Checking to Detect the Hummingbad Malware. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Gigliola Vaglini (IDC, 2019)

A machine-learning framework for supporting intelligent web-phishing detection and analysis. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (IDEAS, 2019)

Machine Learning to Identify Gender via Hair Elements. - Pasquale Avino; Francesco Mercaldo; Vittoria Nardone; Ivan Notardonato; Antonella Santone (IJCNN, 2019)

Keystroke Analysis for User Identification using Deep Neural Networks. - Mario Luca Bernardi; Marta Cimitile; Fabio Martinelli; Francesco Mercaldo (IJCNN, 2019)

Neural Networks for Lung Cancer Detection through Radiomic Features. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (IJCNN, 2019)

Cascade Learning for Mobile Malware Families Detection through Quality and Android Metrics. - Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2019)

Social Network Polluting Contents Detection through Deep Learning Techniques. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2019)

Formal Methods for Android Banking Malware Analysis and Detection. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IoTSMS, 2019)

Exploiting Model Checking for Mobile Botnet Detection. - Cinzia Bernardeschi; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (KES, 2019)

A Blockchain Based Proposal for Protecting Healthcare Systems through Formal Methods. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (KES, 2019)

Radiomic Features for Medical Images Tamper Detection by Equivalence Checking. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (KES, 2019)

Formal Modeling for Magnetic Resonance Images Tamper Mitigation. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (KES, 2019)

Dunuen: A User-Friendly Formal Verification Tool. - Giovanni Capobianco; Umberto Di Giacomo; Francesco Mercaldo; Antonella Santone (KES, 2019)

Model Checking for Data Anomaly Detection. - Madalina G. Ciobanu; Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2019)

Energy Consumption Metrics for Mobile Device Dynamic Malware Detection. - Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2019)

Wearable Devices for Human Activity Recognition and User Detection. - Giovanni Capobianco; Umberto Di Giacomo; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (PDP, 2019)

Real-Time SCADA Attack Detection by Means of Formal Methods. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (WETICE, 2019)

Prostate Gleason Score Detection and Cancer Treatment Through Real-Time Formal Verification. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (IEEE Access, 2019)

On the effectiveness of system API-related information for Android ransomware detection. - Michele Scalas; Davide Maiorca; Francesco Mercaldo; Corrado Aaron Visaggio; Fabio Martinelli; Giorgio Giacinto (Comput. Secur., 2019)

Classification of ransomware families with machine learning based on N-gram of opcodes. - Hanqi Zhang; Xi Xiao; Francesco Mercaldo; Shiguang Ni; Fabio Martinelli; Arun Kumar Sangaiah (Future Gener. Comput. Syst., 2019)

Dynamic malware detection and phylogeny analysis using process mining. - Mario Luca Bernardi; Marta Cimitile; Damiano Distante; Fabio Martinelli; Francesco Mercaldo (Int. J. Inf. Sec., 2019)

Model Checking Based Approach for Compliance Checking. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Albina Orlando; Antonella Santone; Gigliola Vaglini (Inf. Technol. Control., 2019)

Android malware detection based on system call sequences and LSTM. - Xi Xiao; Shaofeng Zhang; Francesco Mercaldo; Guangwu Hu; Arun Kumar Sangaiah (Multim. Tools Appl., 2019)

A "pay-how-you-drive" car insurance approach through cluster analysis. - Maria Francesca Carfora; Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Albina Orlando; Antonella Santone; Gigliola Vaglini (Soft Comput., 2019)

Cognitive data science methods and models for engineering applications. - Arun Kumar Sangaiah; Hoang Pham; Mu-Yen Chen; Huimin Lu 001; Francesco Mercaldo (Soft Comput., 2019)

LEILA: Formal Tool for Identifying Mobile Malicious Behaviour. - Gerardo Canfora; Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Corrado Aaron Visaggio (IEEE Trans. Software Eng., 2019)

VisualDroid: automatic triage and detection of Android repackaged applications. - Rosangela Casolare; Carlo De Dominicis; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ARES, 2020)

Towards the Use of Generative Adversarial Neural Networks to Attack Online Resources. - Lelio Campanile; Mauro Iacono; Fabio Martinelli; Fiammetta Marulli; Michele Mastroianni; Francesco Mercaldo; Antonella Santone (AINA Workshops, 2020)

Colluding Android Apps Detection via Model Checking. - Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (AINA Workshops, 2020)

Code Reordering Obfuscation Technique Detection by Means of Weak Bisimulation. - Giuseppe Crincoli; Tiziano Marinaro; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (AINA, 2020)

Predicting Probability of Default Under IFRS 9 Through Data Mining Techniques. - Fabio Martinelli; Francesco Mercaldo; Domenico Raucci; Antonella Santone (AINA Workshops, 2020)

Accidental Sensitive Data Leaks Prevention via Formal Verification. - Madalina G. Ciobanu; Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICISSP, 2020)

Android Run-time Permission Exploitation User Awareness by Means of Formal Methods. - Fausto Fasano; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICISSP, 2020)

Bank Credit Risk Management based on Data Mining Techniques. - Fabio Martinelli; Francesco Mercaldo; Domenico Raucci; Antonella Santone (ICISSP, 2020)

Identify Potential Attacks from Simulated Log Analysis. - Cinzia Bernardeschi; Andrea Domenici; Francesco Mercaldo; Antonella Santone (IJCNN, 2020)

Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (IJCNN, 2020)

Malicious Collusion Detection in Mobile Environment by means of Model Checking. - Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2020)

Enhanced Privacy and Data Protection using Natural Language Processing and Artificial Intelligence. - Fabio Martinelli; Fiammetta Marulli; Francesco Mercaldo; Stefano Marrone 001; Antonella Santone (IJCNN, 2020)

Hourly Global Solar Radiation Reconstruction Applying Machine Learning. - Francesco Mercaldo; Antonella Santone; Francesco Tariello; Giuseppe Peter Vanoli (IJCNN, 2020)

Image-based Malware Family Detection: An Assessment between Feature Extraction and Classification Techniques. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IoTBDS, 2020)

Evaluating Deep Learning Classification Reliability in Android Malware Family Detection. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ISSRE Workshops, 2020)

Deep learning for heart disease detection through cardiac sounds. - Luca Brunese; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2020)

Machine learning for coronavirus covid-19 detection from chest x-rays. - Luca Brunese; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2020)

A Deep-Learning-Based Framework for Supporting Analysis and Detection of Attacks on CAN Buses. - Alfredo Cuzzocrea; Francesco Mercaldo; Fabio Martinelli (KES, 2020)

Machine Learning for Driver Detection through CAN bus. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (VTC Spring, 2020)

Human behavior characterization for driving style recognition in vehicle system. - Fabio Martinelli; Francesco Mercaldo; Albina Orlando; Vittoria Nardone; Antonella Santone; Arun Kumar Sangaiah (Comput. Electr. Eng., 2020)

An ensemble learning approach for brain cancer detection exploiting radiomic features. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Comput. Methods Programs Biomed., 2020)

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Comput. Methods Programs Biomed., 2020)

Model checking for malicious family detection and phylogenetic analysis in mobile environment. - Mario G. C. A. Cimino; Nicoletta De Francesco; Francesco Mercaldo; Antonella Santone; Gigliola Vaglini (Comput. Secur., 2020)

Timed Automata for Mobile Ransomware Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2020)

Cognitive computing for big data systems over internet of things for enterprise information systems. - Arun Kumar Sangaiah; Ankit Chaudhary; Chun-Wei Tsai; Jin Wang 001; Francesco Mercaldo (Enterp. Inf. Syst., 2020)

BPM perspectives to support ICSs: Exploiting the integration of formal verifications into investment service provision processes. - Domenico Raucci; Antonella Santone; Francesco Mercaldo; Tomasz Dyczkowski (Ind. Manag. Data Syst., 2020)

Android Collusion: Detecting Malicious Applications Inter-Communication through SharedPreferences. - Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (Inf., 2020)

Anomaly detection in substation networks. - Philipp Kreimel; Oliver Eigner; Francesco Mercaldo; Antonella Santone; Paul Tavolato (J. Inf. Secur. Appl., 2020)

Visualizing the outcome of dynamic analysis of Android malware with VizMal. - Andrea De Lorenzo; Fabio Martinelli; Eric Medvet; Francesco Mercaldo; Antonella Santone (J. Inf. Secur. Appl., 2020)

D-BRIDEMAID: A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware. - Antonio La Marra; Fabio Martinelli; Francesco Mercaldo; Andrea Saracino; Mina Sheikhalishahi (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2020)

DECAB-LSTM: Deep Contextualized Attentional Bidirectional LSTM for cancer hallmark classification. - Longquan Jiang 001; Xuan Sun 005; Francesco Mercaldo; Antonella Santone (Knowl. Based Syst., 2020)

Radiomics for Gleason Score Detection through Deep Learning. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Sensors, 2020)

Model checking and machine learning techniques for HummingBad mobile malware detection and mitigation. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone; Gigliola Vaglini (Simul. Model. Pract. Theory, 2020)

Deep learning for image-based mobile malware detection. - Francesco Mercaldo; Antonella Santone (J. Comput. Virol. Hacking Tech., 2020)

SteælErgon: A Framework for Injecting Colluding Malicious Payload in Android Applications. - Rosangela Casolare; Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ARES, 2021)

A Methodology based on Formal Methods for Thermal Ablation Area Detection. - Luca Brunese; Francesco Mercaldo; Antonella Santone; Giuseppe Peter Vanoli (BIOINFORMATICS, 2021)

Towards Resilient Artificial Intelligence: Survey and Research Issues. - Oliver Eigner; Sebastian Eresheim; Peter Kieseberg; Lukas Daniel Klausner; Martin Pirker; Torsten Priebe; Simon Tjoa; Fiammetta Marulli; Francesco Mercaldo (CSR, 2021)

Robust Malware Classification via Deep Graph Networks on Call Graph Topologies. - Federico Errica; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Alessio Micheli (ESANN, 2021)

Hide and Seek Game: A Machine Learning Approach for Detecting Malicious Samples in Analysis Environment. - Anandaram S.; Ashik Mathew; Jyothish A.; Vinod P. 001; Francesco Mercaldo (IC3, 2021)

A Framework for Supporting Ransomware Detection and Prevention Based on Hybrid Analysis. - Alfredo Cuzzocrea; Francesco Mercaldo; Fabio Martinelli (ICCSA (3), 2021)

A Neural-Network-Based Framework for Supporting Driver Classification and Analysis. - Alfredo Cuzzocrea; Francesco Mercaldo; Fabio Martinelli (ICCSA (3), 2021)

A Machine-Learning-Based Framework for Supporting Malware Detection and Analysis. - Alfredo Cuzzocrea; Francesco Mercaldo; Fabio Martinelli (ICCSA (3), 2021)

Colluding Covert Channel for Malicious Information Exfiltration in Android Environment. - Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICISSP, 2021)

Thermal Ablation Treatment Detection by means of Machine Learning. - Luca Brunese; Francesco Mercaldo; Antonella Santone; Giuseppe Peter Vanoli (IJCNN, 2021)

A Semi-Automated Explainability-Driven Approach for Malware Analysis through Deep Learning. - Giacomo Iadarola; Rosangela Casolare; Fabio Martinelli; Francesco Mercaldo; Christian Peluso; Antonella Santone (IJCNN, 2021)

A Proposal to Ensure Social Distancing with Deep Learning-based Object Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (IJCNN, 2021)

Perturbation of Image-based Malware Detection with Smali level morphing techniques. - Federico Gerardi; Giacomo Iadarola; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (ISPA/BDCloud/SocialCom/SustainCom, 2021)

Vulnerability Evaluation of Android Malware Detectors against Adversarial Examples. - Ijas Ah; Vinod P. 001; Akka Zemmari; Harikrishnan D; Godvin Poulose; Don Jose; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (KES, 2021)

Android Collusion Detection by means of Audio Signal Analysis with Machine Learning techniques. - Rosangela Casolare; Umberto Di Giacomo; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2021)

A Method for Automatic Penetration Testing and Mitigation: A Red Hat Approach. - Eric Filiol; Francesco Mercaldo; Antonella Santone (KES, 2021)

Exploiting Supervised Machine Learning for Driver Detection in a Real-World Environment. - Umberto Di Giacomo; Rosangela Casolare; Oliver Eigner; Fabio Martinelli; Francesco Mercaldo; Torsten Priebe; Antonella Santone (KES, 2021)

Detecting Call Indirection Obfuscation through Equivalence Checking in Android environment. - Tiziano Marinaro; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2021)

Automated Intention Mining with Comparatively Fine-tuning BERT. - Xuan Sun 005; Luqun Li; Francesco Mercaldo; Yichen Yang 012; Antonella Santone; Fabio Martinelli (NLPIR, 2021)

Mobile Family Detection through Audio Signals Classification. - Rosangela Casolare; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2021)

Towards an interpretable deep learning model for mobile malware detection and family identification. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (Comput. Secur., 2021)

Transfer learning for mobile real-time face mask detection and localization. - Francesco Mercaldo; Antonella Santone (J. Am. Medical Informatics Assoc., 2021)

Dynamic Mobile Malware Detection through System Call-based Image representation. - Rosangela Casolare; Carlo De Dominicis; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2021)

CAN-Bus Attack Detection With Deep Learning. - Flora Amato; Luigi Coppolino; Francesco Mercaldo; Francesco Moscato 001; Roberto Nardone; Antonella Santone (IEEE Trans. Intell. Transp. Syst., 2021)

A framework for supporting ransomware detection and prevention based on hybrid analysis. - Francesco Mercaldo (J. Comput. Virol. Hacking Tech., 2021)

Audio signal processing for Android malware detection and family identification. - Francesco Mercaldo; Antonella Santone (J. Comput. Virol. Hacking Tech., 2021)

Introducing Quantum Computing in Mobile Malware Detection. - Giovanni Ciaramella; Giacomo Iadarola; Francesco Mercaldo; Marco Storto; Antonella Santone; Fabio Martinelli (ARES, 2022)

Explainable Deep Learning for Alzheimer Disease Classification and Localisation. - Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Fabrizio Ravelli; Antonella Santone (AII, 2022)

Deep Learning for Heartbeat Phonocardiogram Signals Explainable Classification. - Mario Cesarelli; Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (BIBE, 2022)

Machine Learning for Uterine Cervix Screening. - Francesco Mercaldo; Xiaoli Zhou; Pan Huang 001; Fabio Martinelli; Antonella Santone (BIBE, 2022)

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning: A Proposal. - Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2022)

Smart Grid monitoring through Deep Learning for Image-based Automatic Dial Meter Reading. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2022)

Blood Cells Counting and Localisation through Deep Learning Object Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone; Mario Cesarelli (IEEE Big Data, 2022)

Vulnerable Smart Contract Detection by Means of Model Checking. - Giuseppe Crincoli; Giacomo Iadarola; Piera Elena La Rocca; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (BSCI, 2022)

Emotion Recognition from Facial Expression using Explainable Deep Learning. - Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (DASC/PiCom/CBDCom/CyberSciTech, 2022)

Automatic Gleason Score Diagnosis with Fuzzy Classification and Radiomic Features. - Luca Brunese; Francesco Mercaldo; Antonella Santone (FUZZ-IEEE, 2022)

Explainable Deep Learning Methodologies for Biomedical Images Classification. - Marcello Di Giammarco; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (ICDCS, 2022)

Designing Robust Deep Learning Classifiers for Image-based Malware Analysis. - Giacomo Iadarola; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (ICDCS, 2022)

On the Influence of Image Settings in Deep Learning-based Malware Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone; Vinod P. 001 (ICISSP, 2022)

COVID-19 Detection from Cough Recording by means of Explainable Deep Learning. - Mario Cesarelli; Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone; Michele Tavone (ICMLA, 2022)

Continuous and Silent User Authentication Through Mouse Dynamics and Explainable Deep Learning. - Giovanni Ciaramella; Stefano Fagnano; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICMLA, 2022)

Deep learning for blood cells classification and localisation. - Francesco Mercaldo; Mario Cesarelli; Fabio Martinelli; Antonella Santone (ICMV, 2022)

Explainable Retinopathy Diagnosis and Localisation by means of Class Activation Mapping. - Marcello Di Giammarco; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2022)

On the Resilience of Shallow Machine Learning Classification in Image-based Malware Detection. - Rosangela Casolare; Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone; Michele Tommasone (KES, 2022)

A Model Checking-based Approach to Malicious Family Detection in iOS Environment. - Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2022)

High Grade Brain Cancer Segmentation by means of Deep Learning. - Marcello Di Giammarco; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2022)

Drone Audio recognition based on Machine Learning Techniques. - Giovanni Lacava; Francesco Mercaldo; Fabio Martinelli; Antonella Santone; Mario Pizzi (KES, 2022)

A Method for Intrusion Detection in Smart Grid. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2022)

Timed Automata Networks for SCADA Attacks Real-Time Mitigation. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (KES-IDT, 2022)

A Method for Road Accident Prevention in Smart Cities based on Deep Reinforcement Learning. - Giuseppe Crincoli; Fabiana Fierro; Giacomo Iadarola; Piera Elena La Rocca; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2022)

A Real-time Method for CAN Bus Intrusion Detection by Means of Supervised Machine Learning. - Francesco Mercaldo; Rosangela Casolare; Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Ranieri; Antonella Santone (SECRYPT, 2022)

Assessing Deep Learning Predictions in Image-Based Malware Detection with Activation Maps. - Giacomo Iadarola; Francesco Mercaldo; Fabio Martinelli; Antonella Santone (STM, 2022)

A novel methodology for head and neck carcinoma treatment stage detection by means of model checking. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Artif. Intell. Medicine, 2022)

Explainability of radiomics through formal methods. - Giulia Varriano; Pasquale Guerriero; Antonella Santone; Francesco Mercaldo; Luca Brunese (Comput. Methods Programs Biomed., 2022)

Fighting Cybercrime by Introducing Trustworthiness and Interpretability in Deep Learning Malware Detection. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo (ERCIM News, 2022)

Smart sensors in vehicular communication networks: Principles, algorithms, systems and applications. - Saru Kumari; Arun Kumar Sangaiah; Ankit Chaudhary; Jin Wang 001; Francesco Mercaldo (Int. J. Commun. Syst., 2022)

Machine Learning on Soccer Player Positions. - Umberto Di Giacomo; Francesco Mercaldo; Antonella Santone; Giovanni Capobianco (Int. J. Decis. Support Syst. Technol., 2022)

FABNet: Fusion Attention Block and Transfer Learning for Laryngeal Cancer Tumor Grading in P63 IHC Histopathology Images. - Pan Huang 001; Xiaoheng Tan; Xiaoli Zhou; Shuxian Liu; Francesco Mercaldo; Antonella Santone (IEEE J. Biomed. Health Informatics, 2022)

Driver Identification Through Formal Methods. - Fabio Martinelli; Francesco Mercaldo; Vittoria Nardone; Antonella Santone (IEEE Trans. Intell. Transp. Syst., 2022)

Formal Equivalence Checking for Mobile Malware Detection and Family Classification. - Francesco Mercaldo; Antonella Santone (IEEE Trans. Software Eng., 2022)

2Faces: a new model of malware based on dynamic compiling and reflection. - Rosangela Casolare; Giovanni Lacava; Fabio Martinelli; Francesco Mercaldo; Marco Russodivito; Antonella Santone (J. Comput. Virol. Hacking Tech., 2022)

Obfuscated Mobile Malware Detection by Means of Dynamic Analysis and Explainable Deep Learning. - Francesco Mercaldo; Giovanni Ciaramella; Antonella Santone; Fabio Martinelli (ARES, 2023)

Explainable Deep Learning for Smart Grid Stability Detection. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2023)

A Proposal for Trustworthy Artificial Intelligence. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IEEE Big Data, 2023)

Data Poisoning Attacks over Diabetic Retinopathy Images Classification. - Fabio Martinelli; Francesco Mercaldo; Marcello Di Giammarco; Antonella Santone (IEEE Big Data, 2023)

Computational cost of CT Radiomics workflow: a case study on COVID-19. - Giulia Varriano; Valeria Sorgente; Francesco Mercaldo; Antonella Santone; Luca Brunese (COMPSAC, 2023)

A Driver Detection Method by Means of Explainable Deep Learning. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (CSR, 2023)

Evaluating Fuzzy Machine Learning for Smart Grid Instability Detection. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (FUZZ, 2023)

Image-Based Malware Detection Through a Deep Neuro-Fuzzy Model. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (FUZZ, 2023)

A Fuzzy Deep Learning Network for Dynamic Mobile Malware Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (FUZZ, 2023)

StegWare: A Novel Malware Model Exploiting Payload Steganography and Dynamic Compilation. - Daniele Albanese; Rosangela Casolare; Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Marco Russodivito; Antonella Santone (ICISSP, 2023)

An Explainable Convolutional Neural Network for Dynamic Android Malware Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (ICISSP, 2023)

Benchmarking YOLO Models for Automatic Reading in Smart Metering Systems: A Performance Comparison Analysis. - Amine Hattak; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ICMLA, 2023)

Exploring Quantum Machine Learning for Explainable Malware Detection. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (IJCNN, 2023)

Explainable Deep Learning for Face Mask Detection. - Mario Cesarelli; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2023)

Damage Detection and Localisation using UAV/ Drone with Object Detection. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2023)

Object Detection and Localisation in Thermal Images by means of UAV/Drone. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2023)

Explainable Deep Learning for Brain Cancer Detection and Localisation. - Mario Cesarelli; Francesco Mercaldo; Antonella Santone (MetroXRAINE, 2023)

A Machine Learning approach to classify ventilatory efficiency. - Giuseppe Prisco; Klara Komici; Francesco Mercaldo; Leandro Donisi; Mario Cesarelli; Germano Guerra; Antonella Santone (MetroXRAINE, 2023)

A Method for Robust and Explainable Image-Based Network Traffic Classification with Deep Learning. - Amine Hattak; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2023)

TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification. - Haozhen Zhang; Le Yu 002; Xi Xiao; Qing Li 006; Francesco Mercaldo; Xiapu Luo; Qixu Liu (WWW, 2023)

TriAD: A Deep Ensemble Network for Alzheimer Classification and Localization. - Francesco Mercaldo; Marcello Di Giammarco; Fabrizio Ravelli; Fabio Martinelli; Antonella Santone; Mario Cesarelli (IEEE Access, 2023)

A deep-learning approach to game bot identification via behavioural features analysis in complex massively-cooperative environments. - Alfredo Cuzzocrea; Fabio Martinelli; Francesco Mercaldo (Int. J. Data Min. Model. Manag., 2023)

Water Meter Reading for Smart Grid Monitoring. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (Sensors, 2023)

A Novel Classification Technique based on Formal Methods. - Gerardo Canfora; Francesco Mercaldo; Antonella Santone (ACM Trans. Knowl. Discov. Data, 2023)

A ViT-AMC Network With Adaptive Model Fusion and Multiobjective Optimization for Interpretable Laryngeal Tumor Grading From Histopathological Images. - Pan Huang 001; Peng He 002; Sukun Tian; Mingrui Ma; Peng Feng 002; Hualiang Xiao; Francesco Mercaldo; Antonella Santone; Jing Qin 001 (IEEE Trans. Medical Imaging, 2023)

Interpretable laryngeal tumor grading of histopathological images via depth domain adaptive network with integration gradient CAM and priori experience-guided attention. - Pan Huang 001; Xiaoli Zhou; Peng He 002; Peng Feng 002; Sukun Tian; Yuchun Sun; Francesco Mercaldo; Antonella Santone; Jing Qin 001; Hualiang Xiao (Comput. Biol. Medicine, 2023)

Diabetic retinopathy detection and diagnosis by means of robust and explainable convolutional neural networks. - Francesco Mercaldo; Marcello Di Giammarco; Arianna Apicella; Giacomo Iadarola; Mario Cesarelli; Fabio Martinelli; Antonella Santone (Neural Comput. Appl., 2023)

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation. - Francesco Mercaldo; Luca Brunese; Fabio Martinelli; Antonella Santone; Mario Cesarelli (Sensors, 2023)

Formal Methods for Attack Detection in Autonomous Driving Systems: The FORESEEN Project. - Cinzia Bernardeschi; Giuseppe Lettieri; Alessio Vivani; Alessio Bechini; Alessio Vecchio; Federico Rossi 003; Christian Quadri; Alessia Galdeman; Adriano Fagiolini; Salvatore Pedone; Antonella Santone; Vittoria Nardone; et al. (ACSOS-C, 2024)

Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network. - Francesco Mercaldo; Luca Brunese; Mario Cesarelli; Fabio Martinelli; Antonella Santone (BIOSTEC (1), 2024)

DroidDefender: An Image-based Android Antimalware Proof-of-Concept. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (CODASPY, 2024)

Security Policy Generation and Verification through Large Language Models: A Proposal. - Fabio Martinelli; Francesco Mercaldo; Luca Petrillo; Antonella Santone (CODASPY, 2024)

Evaluating the Impact of Generative Adversarial Network in Android Malware Detection. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (ENASE, 2024)

A Federated Learning-Based Android Malware Detector Through Differential Privacy. - Christian Peluso; Giovanni Ciaramella; Francesco Mercaldo; Antonella Santone; Fabio Martinelli (EUROCAST (3), 2024)

Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection. - Francesco Mercaldo; Luca Brunese; Mario Cesarelli; Fabio Martinelli; Antonella Santone (ICAART (2), 2024)

Detecting Parkinson's Disease Using the Spiral and Wave Drawing Test by Means of Explainable Deep Learning. - Antonella Santone; Mario Cesarelli; Fabio Martinelli; Luca Brunese; Francesco Mercaldo (ICAART (Revised Selected Paper, 2), 2024)

An Approach for Privacy-Preserving Mobile Malware Detection Through Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo; Christian Peluso; Antonella Santone (ICEIS (1), 2024)

Cybersecurity-Related Tweet Classification by Explainable Deep Learning. - Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Luca Petrillo; Antonella Santone (ICISSP, 2024)

Egyptian Hieroglyphs Localisation Through Object Detection. - Lucia Lombardi; Francesco Mercaldo; Antonella Santone (ICSOFT, 2024)

Reliable Leukemia diagnosis and localization through Explainable Deep Learning. - Marcello Di Giammarco; Benedetta Dukic; Fabio Martinelli; Mario Cesarelli; Fabrizio Ravelli; Antonella Santone; Francesco Mercaldo (IDSTA, 2024)

A Preliminary Approach to Verify Platoon Behaviour Using Execution Traces and Model Checking. - Simona Correra; Valeria Sorgente; Giulia Varriano; Vittoria Nardone; Francesco Mercaldo; Antonella Santone (INTSYS, 2024)

A Method for AI-generated sentence detection through Large Language Models. - Fabio Martinelli; Francesco Mercaldo; Luca Petrillo; Antonella Santone (KES, 2024)

A Method for Finding Distance in Real-Time Car Detection through Object Detection. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2024)

Real-Time Road Sign Localisation through Object Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (KES, 2024)

Automatic Classification and Localization of Ancient Amphorae Through Object Detection in Underwater Archeology. - Lucia Lombardi; Francesco Mercaldo; Antonella Santone (KES-IDT, 2024)

Biomechanical Risk Evaluation Through Machine Learning Algorithms Fed with Features Extracted From sEMG of Neck Extensors. - Giuseppe Prisco; Leandro Donisi; Lorena Guerrini; Francesco Mercaldo; Fabrizio Esposito; Antonella Santone; Mario Cesarelli; Francesco Amato 001; Paolo Gargiulo (MetroXRAINE, 2024)

A Machine Learning-Based Approach to Detect Cyberbullying Tweets. - Giuseppe Prisco; Francesco Mercaldo; Antonella Santone; Mario Cesarelli (MetroXRAINE, 2024)

Leveraging Deep Learning for Intrusion Detection in IoT Through Visualized Network Data. - Amine Hattak; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SECRYPT, 2024)

On the Adoption of Explainable Deep Learning for Image-Based Network Traffic Classification. - Amine Hattak; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (SIMULTECH, 2024)

Dynamic Analysis for Explainable Fine-Grained Android Malware Detection. - Giovanni Ciaramella; Francesco Mercaldo; Antonella Santone (STM, 2024)

On the Adoption of Counterexample for Classification Task Explainability. - Fabio Martinelli; Francesco Mercaldo; Antonella Santone (WETICE, 2024)

An automatic radiomic-based approach for disease localization: A pilot study on COVID-19. - Giulia Varriano; Vittoria Nardone; Simona Correra; Francesco Mercaldo; Antonella Santone (Comput. Medical Imaging Graph., 2024)

Isolation forest-voting fusion-multioutput: A stroke risk classification method based on the multidimensional output of abnormal sample detection. - Hai He; Haibo Yang; Francesco Mercaldo; Antonella Santone; Pan Huang 001 (Comput. Methods Programs Biomed., 2024)

A Proposal for Privacy-preserving Ransomware Detection by means of Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Francesco Mercaldo (ERCIM News, 2024)

MamlFormer: Priori-experience guiding transformer network via manifold adversarial multi-modal learning for laryngeal histopathological grading. - Pan Huang 001; Chentao Li; Peng He 002; Hualiang Xiao; Yifang Ping; Peng Feng 002; Sukun Tian; Hu Chen; Francesco Mercaldo; Antonella Santone; Hui-yuan Yeh; Jing Qin 001 (Inf. Fusion, 2024)

Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study. - Francesco Mercaldo; Luca Brunese; Antonella Santone; Fabio Martinelli; Mario Cesarelli (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks. - Francesco Mercaldo; Marcello Di Giammarco; Fabrizio Ravelli; Fabio Martinelli; Antonella Santone; Mario Cesarelli (Int. J. Neural Syst., 2024)

Deep Convolutional Generative Adversarial Networks in Image-Based Android Malware Detection. - Francesco Mercaldo; Fabio Martinelli; Antonella Santone (Comput., 2024)

LA-ViT: A Network With Transformers Constrained by Learned-Parameter-Free Attention for Interpretable Grading in a New Laryngeal Histopathology Image Dataset. - Pan Huang 001; Hualiang Xiao; Peng He 002; Chentao Li; Xiaodong Guo; Sukun Tian; Peng Feng 002; Hu Chen; Yuchun Sun; Francesco Mercaldo; Antonella Santone; Jing Qin 001 (IEEE J. Biomed. Health Informatics, 2024)

Picker Blinder: a framework for automatic injection of malicious inter-app communication. - Rosangela Casolare; Stefano Fagnano; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (J. Comput. Virol. Hacking Tech., 2024)

Explainable Ransomware Detection with Deep Learning Techniques. - Giovanni Ciaramella; Giacomo Iadarola; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (J. Comput. Virol. Hacking Tech., 2024)

An Explainable Method for Malware Detection Through Convolutional Neural Networks. - Francesco Mercaldo; Paul Tavolato; Antonella Santone; Fabio Martinelli (ARES (Workshops 1), 2025)

A Method for Explainable Anomaly Detection in Substation Networks Through Deep Learning. - Paul Tavolato; Oliver Eigner; Philipp Kreimel-Haindl; Antonella Santone; Fabio Martinelli; Francesco Mercaldo (ARES (Workshops 1), 2025)

On the Detection of Retinal Image Synthesis Obtained Through Generative Adversarial Network. - Marcello Di Giammarco; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (BIOSTEC (1), 2025)

A Proposal for Explainable Breast Cancer Detection from Histological Images. - Lucia Lombardi; Myriam Giusy Tibaldi; Rachele Catalano; Mario Cesarelli; Antonella Santone; Francesco Mercaldo (BIOSTEC (2): HEALTHINF, 2025)

Bioimages Synthesis and Detection Through Generative Adversarial Network: A Multi-Case Study. - Valeria Sorgente; Ilenia Verrillo; Mario Cesarelli; Antonella Santone; Fabio Martinelli; Francesco Mercaldo (BIOSTEC (1), 2025)

Explainable Ransomware Detection through Static Analysis and Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (CSR, 2025)

Explainable Malware Detection by means of Federated Machine Learning. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (CSR, 2025)

An Explainable Method for Access Control Policies Classification. - Luca Petrillo; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (CSR, 2025)

Security Requirements Classification by Means of Explainable Transformer Models. - Luca Petrillo; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (EuroS&P (Workshops), 2025)

FLIP: A tool for Explainable Federated Learning for Image Processing. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (ICHI, 2025)

Joint Angle Detection through Human Pose Estimation: A Proposal. - Ludovica Ciardiello; Fabio Martinelli; Mario Cesarelli; Antonella Santone; Francesco Mercaldo (ICHI, 2025)

A Proposal for Automatic Bounding Box Annotation for Object Detection Tasks. - Francesco Mercaldo; Fabio Martinelli; Mario Cesarelli; Antonella Santone (ICHI, 2025)

TALLM: A framework for Text Analysis using Large Language Models. - Luca Petrillo; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (ICHI, 2025)

Leveraging Pre-trained LLMs for GDPR Compliance in Online Privacy Policies. - Giovanni Ciaramella; Luca Petrillo; Margaret Varilek; Francesco Mercaldo; Giovanni Comandè; Fabio Martinelli (ITASEC/SERICS, 2025)

A Method for Packed (and Unpacked) Malware Detection by Means of Convolutional Neural Networks. - Giovanni Ciaramella; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (SECRYPT, 2025)

Towards Quantum Machine Learning in Ransomware Detection. - Francesco Mercaldo; Giovanni Ciaramella; Fabio Martinelli; Antonella Santone (SECRYPT, 2025)

CGAM: An end-to-end causality graph attention Mamba network for esophageal pathology grading. - Yingbo Qu; Xiangli Zhou; Pan Huang 001; Yanan Liu; Francesco Mercaldo; Antonella Santone; Peng Feng 002 (Biomed. Signal Process. Control., 2025)

Explainable Security Requirements Classification Through Transformer Models. - Luca Petrillo; Fabio Martinelli; Antonella Santone; Francesco Mercaldo (Future Internet, 2025)

Explainable retinal disease classification and localization through Convolutional Neural Networks. - Marcello Di Giammarco; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (Image Vis. Comput., 2025)

A method for skin lesion detection and localization by means of Deep Learning and reliable prediction explainability. - Marcello Di Giammarco; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (Image Vis. Comput., 2025)

Explainable Deep Learning for Breast Cancer Classification and Localization. - Marcello Di Giammarco; Camilla Vitulli; Simone Cirnelli; Benedetta Masone; Antonella Santone; Mario Cesarelli; Fabio Martinelli; Francesco Mercaldo (ACM Trans. Comput. Heal., 2025)