Smartphone and Laptop Frameworks for vehicular networking experimentation. - Moreno Ambrosin; Armir Bujari; Mauro Conti; Fabio De Gaspari; Claudio E. Palazzi (Wireless Days, 2013)

LineSwitch: Efficiently Managing Switch Flow in Software-Defined Networking while Effectively Tackling DoS Attacks. - Moreno Ambrosin; Mauro Conti; Fabio De Gaspari; Radha Poovendran (AsiaCCS, 2015)

Anonymity in an Electronic Society: A Survey. - Mauro Conti; Fabio De Gaspari; Luigi Vincenzo Mancini (Cyber Deception, 2016)

Amplified Distributed Denial of Service Attack in Software Defined Networking. - Moreno Ambrosin; Mauro Conti; Fabio De Gaspari; Nishanth Devarajan (NTMS, 2016)

AHEAD: A New Architecture for Active Defense. - Fabio De Gaspari; Sushil Jajodia; Luigi V. Mancini; Agostino Panico (SafeConfig@CCS, 2016)

Know Your Enemy: Stealth Configuration-Information Gathering in SDN. - Mauro Conti; Fabio De Gaspari; Luigi V. Mancini (GPC, 2017)

LineSwitch: Tackling Control Plane Saturation Attacks in Software-Defined Networking. - Moreno Ambrosin; Mauro Conti; Fabio De Gaspari; Radha Poovendran (IEEE/ACM Trans. Netw., 2017)

IaaS-Aided Access Control for Information-Centric IoT. - Giovanna Carofiglio; Alberto Compagno; Mauro Conti; Fabio De Gaspari; Luca Muscariello (LCN, 2018)

Reference Architecture of an Autonomous Agent for Cyber Defense of Complex Military Systems. - Paul Théron; Alexander Kott; Martin Drasar; Krzysztof Rzadca; Benoît Leblanc; Mauno Pihelgas; Luigi V. Mancini; Fabio De Gaspari (Adaptive Autonomous Secure Cyber Systems, 2020)

The Naked Sun: Malicious Cooperation Between Benign-Looking Processes. - Fabio De Gaspari; Dorjan Hitaj; Giulio Pagnotta; Lorenzo De Carli; Luigi V. Mancini (ACNS (2), 2020)

EnCoD: Distinguishing Compressed and Encrypted File Fragments. - Fabio De Gaspari; Dorjan Hitaj; Giulio Pagnotta; Lorenzo De Carli; Luigi V. Mancini (NSS, 2020)

A Novel Stealthy Attack to Gather SDN Configuration-Information. - Mauro Conti; Fabio De Gaspari; Luigi V. Mancini (IEEE Trans. Emerg. Top. Comput., 2020)

MalPhase: Fine-Grained Malware Detection Using Network Flow Data. - Michal Piskozub; Fabio De Gaspari; Freddie Barr-Smith; Luigi V. Mancini; Ivan Martinovic (AsiaCCS, 2021)

PassFlow: Guessing Passwords with Generative Flows. - Giulio Pagnotta; Dorjan Hitaj; Fabio De Gaspari; Luigi V. Mancini (DSN, 2022)

Evading behavioral classifiers: a comprehensive analysis on evading ransomware detection techniques. - Fabio De Gaspari; Dorjan Hitaj; Giulio Pagnotta; Lorenzo De Carli; Luigi V. Mancini (Neural Comput. Appl., 2022)

Reliable detection of compressed and encrypted data. - Fabio De Gaspari; Dorjan Hitaj; Giulio Pagnotta; Lorenzo De Carli; Luigi V. Mancini (Neural Comput. Appl., 2022)

Minerva: A File-Based Ransomware Detector. - Dorjan Hitaj; Giulio Pagnotta; Fabio De Gaspari; Lorenzo De Carli; Luigi V. Mancini (CoRR, 2023)

DOLOS: A Novel Architecture for Moving Target Defense. - Giulio Pagnotta; Fabio De Gaspari; Dorjan Hitaj; Mauro Andreolini; Michele Colajanni; Luigi V. Mancini (IEEE Trans. Inf. Forensics Secur., 2023)

Have You Poisoned My Data? Defending Neural Networks Against Data Poisoning. - Fabio De Gaspari; Dorjan Hitaj; Luigi V. Mancini (ESORICS (1), 2024)

Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem. - Dorjan Hitaj; Giulio Pagnotta; Fabio De Gaspari; Sediola Ruko; Briland Hitaj; Luigi V. Mancini; Fernando Pérez-Cruz (CoRR, 2024)

Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects. - Sabrine Ennaji; Fabio De Gaspari; Dorjan Hitaj; Alicia K Bidi; Luigi V. Mancini (CoRR, 2024)

OliVaR: Improving olive variety recognition using deep neural networks. - Hristofor Miho; Giulio Pagnotta; Dorjan Hitaj; Fabio De Gaspari; Luigi Vincenzo Mancini; Georgios Koubouris; Gianluca Godino; Mehmet Hakan; Concepcion Muñoz Diez (Comput. Electron. Agric., 2024)

MAYA: Addressing Inconsistencies in Generative Password Guessing through a Unified Benchmark. - William Corrias; Fabio De Gaspari; Dorjan Hitaj; Luigi V. Mancini (CoRR, 2025)

BotHash: Efficient and Training-Free Bot Detection Through Approximate Nearest Neighbor. - Edoardo Di Paolo; Fabio De Gaspari; Angelo Spognardi (CoRR, 2025)