An Effective Approach to Inverse Frequent Set Mining. - Antonella Guzzo; Domenico Saccà; Edoardo Serra (ICDM, 2009)

A Decomposition Technique for the Inverse Frequent Itemset Mining Problem. - Antonella Guzzo; Luigi Moccia; Domenico Saccà; Edoardo Serra (SEBD, 2011)

Data Exchange in Datalog Is Mainly a Matter of Choice. - Domenico Saccà; Edoardo Serra (Datalog, 2012)

Count Constraints and the Inverse OLAP Problem: Definition, Complexity and a Step toward Aggregate Data Exchange. - Domenico Saccà; Edoardo Serra; Antonella Guzzo (FoIKS, 2012)

An Extension of Datalog for Graph Queries. - Mirjana Mazuran; Edoardo Serra; Carlo Zaniolo (SEBD, 2012)

Count Constraints for Inverse OLAP and Aggregate Data Exchange. - Domenico Saccà; Edoardo Serra; Antonella Guzzo (SEBD, 2012)

A Monotonic Extension for Horn-Clauses and its Significance in Datalog's Renaissance. - Mirjana Mazuran; Edoardo Serra; Carlo Zaniolo (AMW, 2013)

Data Posting: a New Frontier for Data Exchange in the Big Data Era. - Domenico Saccà; Edoardo Serra (AMW, 2013)

Multi-Sorted Inverse Frequent Itemsets Mining. - Domenico Saccà; Edoardo Serra; Pietro Dicosta; Antonio Piccolo (CoRR, 2013)

Solving inverse frequent itemset mining with infrequency constraints via large-scale linear programs. - Antonella Guzzo; Luigi Moccia; Domenico Saccà; Edoardo Serra (ACM Trans. Knowl. Discov. Data, 2013)

A declarative extension of horn clauses, and its significance for datalog and its applications. - Mirjana Mazuran; Edoardo Serra; Carlo Zaniolo (Theory Pract. Log. Program., 2013)

Extending the power of datalog recursion. - Mirjana Mazuran; Edoardo Serra; Carlo Zaniolo (VLDB J., 2013)

Behavior Informatics: A New Perspective. - Longbing Cao; Thorsten Joachims; Can Wang 004; Éric Gaussier; Jinjiu Li; Yuming Ou; Dan Luo 001; Reza Zafarani; Huan Liu 001; Guandong Xu; Zhiang Wu 001; Gabriella Pasi; et al. (IEEE Intell. Syst., 2014)

A Survey of Quantitative Models of Terror Group Behavior and an Analysis of Strategic Disclosure of Behavioral Models. - Edoardo Serra; V. S. Subrahmanian (IEEE Trans. Comput. Soc. Syst., 2014)

Saving Rhinos with Predictive Analytics. - Noseong Park; Edoardo Serra; V. S. Subrahmanian (IEEE Intell. Syst., 2015)

APE: A Data-Driven, Behavioral Model-Based Anti-Poaching Engine. - Noseong Park; Edoardo Serra; Tom Snitch; V. S. Subrahmanian (IEEE Trans. Comput. Soc. Syst., 2015)

Pareto-Optimal Adversarial Defense of Enterprise Systems. - Edoardo Serra; Sushil Jajodia; Andrea Pugliese 001; Antonino Rullo; V. S. Subrahmanian (ACM Trans. Inf. Syst. Secur., 2015)

An Effective GPU-Based Approach to Probabilistic Query Confidence Computation. - Edoardo Serra; Francesca Spezzano (IEEE Trans. Knowl. Data Eng., 2015)

Multi-Sorted Inverse Frequent Itemsets Mining: On-Going Research. - Domenico Saccà; Edoardo Serra; Antonio Piccolo (AMW, 2016)

Evaluating the impact of social media in detecting health-violating restaurants. - Mikel Joaristi; Edoardo Serra; Francesca Spezzano (ASONAM, 2016)

Strategic Security Resource Allocation for Internet of Things. - Antonino Rullo; Daniele Midi; Edoardo Serra; Elisa Bertino (ICDCS, 2016)

Metric Logic Program Explanations for Complex Separator Functions. - Srijan Kumar; Edoardo Serra; Francesca Spezzano; V. S. Subrahmanian (SUM, 2016)

ChoiceGAPs: Competitive Diffusion as a Massive Multi-player Game in Social Networks. - Edoardo Serra; Francesca Spezzano; V. S. Subrahmanian (SUM, 2016)

Ensemble Models for Data-driven Prediction of Malware Infections. - Chanhyun Kang; Noseong Park; B. Aditya Prakash; Edoardo Serra; V. S. Subrahmanian (WSDM, 2016)

Using temporal probabilistic logic for optimal monitoring of security events with limited resources. - Sushil Jajodia; Noseong Park; Edoardo Serra; V. S. Subrahmanian (J. Comput. Secur., 2016)

Shortfall-Based Optimal Placement of Security Resources for Mobile IoT Scenarios. - Antonino Rullo; Edoardo Serra; Elisa Bertino; Jorge Lobo 001 (ESORICS (2), 2017)

Shortfall-Based Optimal Security Provisioning for Internet of Things. - Antonino Rullo; Edoardo Serra; Elisa Bertino; Jorge Lobo 001 (ICDCS, 2017)

A Game of Things: Strategic Allocation of Security Resources for IoT. - Antonino Rullo; Daniele Midi; Edoardo Serra; Elisa Bertino (IoTDI, 2017)

Evaluating the Privacy Implications of Frequent Itemset Disclosure. - Edoardo Serra; Jaideep Vaidya; Haritha Akella; Ashish Sharma (SEC, 2017)

A Probabilistic Logic of Cyber Deception. - Sushil Jajodia; Noseong Park; Fabio Pierazzi; Andrea Pugliese 001; Edoardo Serra; Gerardo I. Simari; V. S. Subrahmanian (IEEE Trans. Inf. Forensics Secur., 2017)

Pareto Optimal Security Resource Allocation for Internet of Things. - Antonino Rullo; Daniele Midi; Edoardo Serra; Elisa Bertino (ACM Trans. Priv. Secur., 2017)

Inferring Bad Entities Through the Panama Papers Network. - Mikel Joaristi; Edoardo Serra; Francesca Spezzano (ASONAM, 2018)

Unknown Landscape Identification with CNN Transfer Learning. - Edoardo Serra; Ashish Sharma; Mikel Joaristi; Oxana Korzh (ASONAM, 2018)

Convolutional Neural Network Ensemble Fine-Tuning for Extended Transfer Learning. - Oxana Korzh; Mikel Joaristi; Edoardo Serra (BigData Congress, 2018)

Redundancy as a Measure of Fault-Tolerance for the Internet of Things: A Review. - Antonino Rullo; Edoardo Serra; Jorge Lobo 001 (PADG@ESORICS, 2018)

A Crowdsourcing Semi-Supervised LSTM Training Approach to Identify Novel Items in Emerging Artificial Intelligent Environments. - Edoardo Serra; Haritha Akella; Alfredo Cuzzocrea (ICMLA, 2018)

The Inverse Tree-OLAP Problem: Definitions, Models, Complexity Analysis, and a Possible Solution. - Domenico Saccà; Edoardo Serra; Alfredo Cuzzocrea (IDEAS, 2018)

Estimation of Remote Sensing Imagery Atmospheric Conditions Using Deep Learning and Image Classification. - Oxana Korzh; Edoardo Serra (IntelliSys (2), 2018)

Inverse Tree-OLAP: Definition, Complexity and First Solution. - Domenico Saccà; Edoardo Serra; Alfredo Cuzzocrea (SEBD, 2018)

Hybrid adversarial defense: Merging honeypots and traditional security methods. - Tanmoy Chakraborty 002; Sushil Jajodia; Noseong Park; Andrea Pugliese 001; Edoardo Serra; V. S. Subrahmanian (J. Comput. Secur., 2018)

SHARE: A Stackelberg Honey-Based Adversarial Reasoning Engine. - Sushil Jajodia; Noseong Park; Edoardo Serra; V. S. Subrahmanian (ACM Trans. Internet Techn., 2018)

Optimal Placement of Security Resources for the Internet of Things. - Antonino Rullo; Edoardo Serra; Elisa Bertino; Jorge Lobo 001 (The Internet of Things for Smart Urban Ecosystems, 2019)

Number of Minimal Hypergraph Transversals and Complexity of IFM with Infrequency: High in Theory, but Often Not so Much in Practice! - Domenico Saccà; Edoardo Serra (AI*IA, 2019)

RIBS: Risky Blind-Spots for Attack Classification Models. - Mikel Joaristi; Arthur Putnam; Alfredo Cuzzocrea; Edoardo Serra (IEEE BigData, 2019)

Framework for Detecting Control Command Injection Attacks on Industrial Control Systems (ICS). - Farhad Rasapour; Edoardo Serra; Hoda Mehrpouyan (CANDAR, 2019)

Detecting Saturation Attacks in SDN via Machine Learning. - Samer Khamaiseh; Edoardo Serra; Zhiyuan Li 002; Dianxiang Xu (ICCCS, 2019)

Extending inverse frequent itemsets mining to generate realistic datasets: complexity, accuracy and emerging applications. - Domenico Saccà; Edoardo Serra; Antonino Rullo (Data Min. Knowl. Discov., 2019)

Detecting suspicious entities in Offshore Leaks networks. - Mikel Joaristi; Edoardo Serra; Francesca Spezzano (Soc. Netw. Anal. Min., 2019)

Validating Bad Entity Ranking in the Panama Papers via Open-source Intelligence. - Donald Winiecki; Katherine Kappelman; Bryant Hay; Mikel Joaristi; Edoardo Serra; Francesca Spezzano (ASONAM, 2020)

An Innovative Framework for Supporting Remote Sensing in Image Processing Systems via Deep Transfer Learning. - Oxana Korzh; Ashish Sharma; Mikel Joaristi; Edoardo Serra; Alfredo Cuzzocrea (IEEE BigData, 2020)

Large-scale Sparse Structural Node Representation. - Edoardo Serra; Mikel Joaristi; Alfredo Cuzzocrea (IEEE BigData, 2020)

DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems. - Edoardo Serra; Anu Shrestha; Francesca Spezzano; Anna Cinzia Squicciarini (CODASPY, 2020)

vSwitchGuard: Defending OpenFlow Switches Against Saturation Attacks. - Samer Khamaiseh; Edoardo Serra; Dianxiang Xu (COMPSAC, 2020)

A Framework for the Multi-modal Analysis of Novel Behavior in Business Processes. - Antonino Rullo; Antonella Guzzo; Edoardo Serra; Erika Tirrito (IDEAL (1), 2020)

Top-k user-specified preferred answers in massive graph databases. - Noseong Park; Andrea Pugliese 001; Edoardo Serra; V. S. Subrahmanian (Data Knowl. Eng., 2020)

Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums. - Anu Shrestha; Edoardo Serra; Francesca Spezzano (Netw. Model. Anal. Health Informatics Bioinform., 2020)

PIE: A Data-Driven Payoff Inference Engine for Strategic Security Applications. - Haipeng Chen 001; Mohammad Taghi Hajiaghayi; Sarit Kraus; Anshul Sawant; Edoardo Serra; V. S. Subrahmanian; Yanhai Xiong (IEEE Trans. Comput. Soc. Syst., 2020)

Detecting Botnet Nodes via Structural Node Representation Learning. - Justin Carpenter; Janet Layne; Edoardo Serra; Alfredo Cuzzocrea (IEEE BigData, 2021)

Identifying Malicious Users in the Offshore Leaks Networks via Structural Node Representation Learning. - Brian Daley; Edoardo Serra; Alfredo Cuzzocrea (IEEE BigData, 2021)

Identifying ATT&CK Tactics in Android Malware Control Flow Graph Through Graph Representation Learning and Interpretability. - Jeffrey Fairbanks; Andres Orbe; Christine Patterson; Janet Layne; Edoardo Serra; Marion Scheepers (IEEE BigData, 2021)

Android Malware Identification and Polymorphic Evolution Via Graph Representation Learning. - Miguel Quebrado; Edoardo Serra; Alfredo Cuzzocrea (IEEE BigData, 2021)

Evaluating Attribution Methods in Machine Learning Interpretability. - Qudrat E. Alahy Ratul; Edoardo Serra; Alfredo Cuzzocrea (IEEE BigData, 2021)

A Few Shot Transfer Learning Approach Identifying Private Images With Fast User Personalization. - Edoardo Serra; Sujeet Ayyapureddi; Qudrat E. Alahy Ratul; Anna Cinzia Squicciarini (IEEE BigData, 2021)

V2W-BERT: A Framework for Effective Hierarchical Multiclass Classification of Software Vulnerabilities. - Siddhartha Shankar Das; Edoardo Serra; Mahantesh Halappanavar; Alex Pothen; Ehab Al-Shaer (DSAA, 2021)

cuTS: scaling subgraph isomorphism on distributed multi-GPU systems using trie based data structure. - Lizhi Xiang; Arif Khan 005; Edoardo Serra; Mahantesh Halappanavar; Aravind Sukumaran-Rajam (SC, 2021)

Multi-Sorted Inverse Frequent Itemsets Mining for Generating Realistic No-SQL Datasets (Discussion Paper). - Domenico Saccà; Edoardo Serra; Antonino Rullo (SEBD, 2021)

An Effective and Efficient Graph Representation Learning Approach for Big Graphs. - Edoardo Serra; Mikel Joaristi; Alfredo Cuzzocrea; Selim Soufargi; Carson K. Leung (SEBD, 2021)

The geometrical shapes of violence: predicting and explaining terrorist operations through graph embeddings. - Gian Maria Campedelli; Janet Layne; Jack Herzoff; Edoardo Serra (J. Complex Networks, 2021)

Inferential SIR-GN: Scalable Graph Representation Learning. - Janet Layne; Edoardo Serra (CoRR, 2021)

A multi-perspective approach for the analysis of complex business processes behavior. - Antonella Guzzo; Mikel Joaristi; Antonino Rullo; Edoardo Serra (Expert Syst. Appl., 2021)

SIR-GN: A Fast Structural Iterative Representation Learning Approach For Graph Nodes. - Mikel Joaristi; Edoardo Serra (ACM Trans. Knowl. Discov. Data, 2021)

Deep Learning Based Side Channel Attacks on Lightweight Cryptography (Student Abstract). - Alexander Benjamin; Jack Herzoff; Liljana Babinkostova; Edoardo Serra (AAAI, 2022)

Identifying ATT&CK Tactics in Android Malware Control Flow Graph through Graph Representation Learning and Interpretability (Student Abstract). - Jeffrey Fairbanks; Andres Orbe; Christine Patterson; Edoardo Serra; Marion Scheepers (AAAI, 2022)

Predicting RNA Mutation Effects through Machine Learning of High-Throughput Ribozyme Experiments (Student Abstract). - Joseph Kitzhaber; Ashlyn Trapp; James Beck; Edoardo Serra; Francesca Spezzano; Eric Hayden; Jessica Roberts (AAAI, 2022)

GAPS: Generality and Precision with Shapley Attribution. - Brian Daley; Qudrat E. Alahy Ratul; Edoardo Serra; Alfredo Cuzzocrea (IEEE Big Data, 2022)

VWC-BERT: Scaling Vulnerability-Weakness-Exploit Mapping on Modern AI Accelerators. - Siddhartha Shankar Das; Mahantesh Halappanavar; Antonino Tumeo; Edoardo Serra; Alex Pothen; Ehab Al-Shaer (IEEE Big Data, 2022)

Anomaly Detection in Cybersecurity Events Through Graph Neural Network and Transformer Based Model: A Case Study with BETH Dataset. - Bishal Lakha; Sara Lilly Mount; Edoardo Serra; Alfredo Cuzzocrea (IEEE Big Data, 2022)

COVID-19 and Haters - A User Model Perspective. - Soumitra Mehrotra; Anna Cinzia Squicciarini; Edoardo Serra; Younes Karimi (DSAA, 2022)

Generating Synthetic Discrete Datasets with Machine Learning. - Giuseppe Manco 001; Ettore Ritacco; Antonino Rullo; Domenico Saccà; Edoardo Serra (SEBD, 2022)

Machine learning methods for generating high dimensional discrete datasets. - Giuseppe Manco 001; Ettore Ritacco; Antonino Rullo; Domenico Saccà; Edoardo Serra (WIREs Data Mining Knowl. Discov., 2022)

A Novel Method to Enable Transfer Learning of Structural Graph Representations. - Janet Layne; Edoardo Serra (IEEE Big Data, 2023)

An AI Framework for Modelling and Evaluating Attribution Methods in Enhanced Machine Learning Interpretability. - Alfredo Cuzzocrea; Qudrat E. Alahy Ratul; Islam Belmerabet; Edoardo Serra (COMPSAC, 2023)

Prediction of Future Nation-initiated Cyberattacks from News-based Political Event Graph. - Bishal Lakha; Jason Duran; Edoardo Serra; Francesca Spezzano (DSAA, 2023)

Structural Node Representation Learning for Detecting Botnet Nodes. - Justin Carpenter; Janet Layne; Edoardo Serra; Alfredo Cuzzocrea; Carmine Gallo (ICCSA (1), 2023)

A Graph-Representation-Learning Framework for Supporting Android Malware Identification and Polymorphic Evolution. - Alfredo Cuzzocrea; Miguel Quebrado; Abderraouf Hafsaoui; Edoardo Serra (SDS, 2023)

Graph Representation Learning for Complex Security Problems. - Alfredo Cuzzocrea; Miguel Quebrado; Abderraouf Hafsaoui; Edoardo Serra (SEBD, 2023)

Attribution Methods Assessment for Interpretable Machine Learning. - Alfredo Cuzzocrea; Qudrat E. Alahy Ratul; Islam Belmerabet; Edoardo Serra (SEBD, 2023)

Structural iterative lexicographic autoencoded node representation. - Mikel Joaristi; Edoardo Serra (Data Min. Knowl. Discov., 2023)

Editorial: Security and privacy for the Internet of Things. - Antonino Rullo; Michele Ianni; Edoardo Serra (Frontiers Comput. Sci., 2023)

Temporal SIR-GN: Efficient and Effective Structural Representation Learning for Temporal Graphs. - Janet Layne; Justin Carpenter; Edoardo Serra; Francesco Gullo (Proc. VLDB Endow., 2023)

Power Grid Anomaly Detection via Hybrid LSTM-GIN Model (Student Abstract). - Amelia Jobe; Richard Ky; Sandra Luo; Akshay Dhamsania; Sumit Purohit; Edoardo Serra (AAAI, 2024)

Detecting Fraud in a Large Anonymized Voter Registration Dataset. - Nahid Anwar; Amit Jain; Edoardo Serra; Chad Houck (IEEE Big Data, 2024)

2FWL-SIRGN: A Scalable Structural 2-dimensional Folklore Weisfeiler Lehman Graph Representation Learning Approach Via Structural Graph Partitioning. - Justin Carpenter; Edoardo Serra (IEEE Big Data, 2024)

Generating Phishing Attacks and Novel Detection Algorithms in the Era of Large Language Models. - Jeffrey Fairbanks; Edoardo Serra (IEEE Big Data, 2024)

Fool 'Em All - Fool-X: A Powerful & Fast Method for Generating Effective Adversarial Images. - Samer Y. Khamaiseh; Mathew Mancino; Deirdre Jost; Abdullah S. Al-Alaj; Derek Bagagem; Edoardo Serra (IEEE Big Data, 2024)

Evaluating the Robustness of Fake News Detectors to Adversarial Attacks with Real User Comments (Extended Abstract). - Annat Koren; Chandler Underwood; Edoardo Serra; Francesca Spezzano (DSAA, 2024)

AGS-GNN: Attribute-guided Sampling for Graph Neural Networks. - Siddhartha Shankar Das; S. M. Ferdous; Mahantesh M. Halappanavar; Edoardo Serra; Alex Pothen (KDD, 2024)

ACM International Conference on Information and Knowledge Management October 21-25, 2024 at Boise, Idaho (USA). - Antonela Tommasel; Edoardo Serra; Francesca Spezzano; Francesco Gullo (SIGWEB Newsl., 2024)

Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks. - Anu Shrestha; Jason Duran; Francesca Spezzano; Edoardo Serra (ACM Trans. Web, 2024)

Analyzing Robustness of Automatic Scientific Claim Verification Tools against Adversarial Rephrasing Attacks. - Janet Layne; Qudrat E. Alahy Ratul; Edoardo Serra; Sushil Jajodia (ACM Trans. Intell. Syst. Technol., 2024)

A hybrid deep learning model for UWB radar-based human activity recognition. - Irfanullah Khan; Antonio Guerrieri; Edoardo Serra; Giandomenico Spezzano (Internet Things, 2025)

CIKM 2024 Conference Report. - Edoardo Serra; Francesca Spezzano; Francesco Gullo (SIGWEB Newsl., 2025)

ScaWL: Scaling k-WL (Weisfeiler-Lehman) Algorithms in Memory and Performance on Shared and Distributed-Memory Systems. - Coby Soss; Aravind Sukumaran-Rajam; Janet Layne; Edoardo Serra; Mahantesh Halappanavar; Assefaw H. Gebremedhin (ACM Trans. Archit. Code Optim., 2025)

Trace Encoding Techniques for Multi-Perspective Process Mining: A Comparative Study. - Antonino Rullo; Farhana Alam; Edoardo Serra (WIREs Data. Mining. Knowl. Discov., 2025)

GenFighter: A Generative and Evolutive Textual Attack Removal. - Md Athikul Islam; Edoardo Serra; Sushil Jajodia (ACM Trans. Intell. Syst. Technol., 2025)