All You Need is: Evading Hate Speech Detection. - Tommi Gröndahl; Luca Pajola; Mika Juuti; Mauro Conti; N. Asokan (AISec@CCS, 2018)

All You Need is "Love": Evading Hate-speech Detection. - Tommi Gröndahl; Luca Pajola; Mika Juuti; Mauro Conti; N. Asokan (CoRR, 2018)

Threat is in the Air: Machine Learning for Wireless Network Applications. - Luca Pajola; Luca Pasa; Mauro Conti (WiseML@WiSec, 2019)

Fake News Spreaders Profiling Through Behavioural Analysis. - Matteo Cardaioli; Stefano Cecconello; Mauro Conti; Luca Pajola; Federico Turrin (CLEF (Working Notes), 2020)

Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack. - Luca Pajola; Mauro Conti (EuroS&P, 2021)

Looking Through Walls: Inferring Scenes from Video-Surveillance Encrypted Traffic. - Daniele Mari; Samuele Giuliano Piazzetta; Sara Bordin; Luca Pajola; Sebastiano Verde; Simone Milani; Mauro Conti (ICASSP, 2021)

DETONAR: Detection of Routing Attacks in RPL-Based IoT. - Andrea Agiollo; Mauro Conti; Pallavi Kaliyar; Tsung-Nan Lin; Luca Pajola (IEEE Trans. Netw. Serv. Manag., 2021)

PRaNA: PRNU-based Technique to Tell Real and Deepfake Videos Apart. - Irene Amerini; Mauro Conti; Pietro Giacomazzi; Luca Pajola (IJCNN, 2022)

Captcha Attack: Turning Captchas Against Humanity. - Mauro Conti; Luca Pajola; Pier Paolo Tricomi (CoRR, 2022)

The Cross-Evaluation of Machine Learning-Based Network Intrusion Detection Systems. - Giovanni Apruzzese; Luca Pajola; Mauro Conti (IEEE Trans. Netw. Serv. Manag., 2022)

Social Honeypot for Humans: Luring People Through Self-managed Instagram Pages. - Sara Bardi; Mauro Conti; Luca Pajola; Pier Paolo Tricomi (ACNS (1), 2023)

DETONAR-Light: An IoT Network Intrusion Detection Using DETONAR without a Sniffer Network. - Victoria Bull; Niclas Finne; Andrea Agiollo; Pallavi Kaliyar; Luca Pajola; Thiemo Voigt; Mauro Conti (ESORICS Workshops (2), 2023)

SoK: Explainable Machine Learning for Computer Security Applications. - Azqa Nadeem; Daniël Vos; Clinton Cao; Luca Pajola; Simon Dieck; Robert Baumgartner; Sicco Verwer (EuroS&P, 2023)

Going in Style: Audio Backdoors Through Stylistic Transformations. - Stefanos Koffas; Luca Pajola; Stjepan Picek; Mauro Conti (ICASSP, 2023)

Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability. - Marco Alecci; Mauro Conti; Francesco Marchiori; Luca Martinelli; Luca Pajola (RAID, 2023)

Boosting Big Brother: Attacking Search Engines with Encodings. - Nicholas Boucher; Luca Pajola; Ilia Shumailov; Ross J. Anderson; Mauro Conti (RAID, 2023)

The Impact of Covid-19 on Online Discussions: the Case Study of the Sanctioned Suicide Forum. - Elisa Sartori; Luca Pajola; Giovanni Da San Martino; Mauro Conti (WWW, 2023)

You Can't Hide Behind Your Headset: User Profiling in Augmented and Virtual Reality. - Pier Paolo Tricomi; Federica Nenna; Luca Pajola; Mauro Conti; Luciano Gamberini (IEEE Access, 2023)

Invisible Threats: Backdoor Attack in OCR Systems. - Mauro Conti; Nicola Farronato; Stefanos Koffas; Luca Pajola; Stjepan Picek (CoRR, 2023)

Turning captchas against humanity: Captcha-based attacks in online social media. - Mauro Conti; Luca Pajola; Pier Paolo Tricomi (Online Soc. Networks Media, 2023)

A Novel Review Helpfulness Measure Based on the User-Review-Item Paradigm. - Luca Pajola; Dongkai Chen; Mauro Conti; V. S. Subrahmanian (ACM Trans. Web, 2023)

Offensive AI: Enhancing Directory Brute-forcing Attack with the Use of Language Models. - Alberto Castagnaro; Mauro Conti; Luca Pajola (AISec@CCS, 2024)

"All of Me": Mining Users' Attributes from their Public Spotify Playlists. - Pier Paolo Tricomi; Luca Pajola; Luca Pasa; Mauro Conti (WWW (Companion Volume), 2024)

Can LLMs Understand Computer Networks? Towards a Virtual System Administrator. - Denis Donadel; Francesco Marchiori; Luca Pajola; Mauro Conti (CoRR, 2024)

Lights Toward Adversarial Machine Learning: The Achilles Heel of Artificial Intelligence. - Luca Pajola; Mauro Conti (IEEE Intell. Syst., 2024)

Elephant in the Room: Dissecting and Reflecting on the Evolution of Online Social Network Research. - Luca Pajola; Saskia Laura Schröer; Pier Paolo Tricomi; Mauro Conti; Giovanni Apruzzese (ICWSM, 2025)

Moshi Moshi? A Model Selection Hijacking Adversarial Attack. - Riccardo Petrucci; Luca Pajola; Francesco Marchiori; Luca Pasa; Mauro Conti (CoRR, 2025)

Exploiting AI for Attacks: On the Interplay between Adversarial AI and Offensive AI. - Saskia Laura Schröer; Luca Pajola; Alberto Castagnaro; Giovanni Apruzzese; Mauro Conti (CoRR, 2025)

DUMB and DUMBer: Is Adversarial Training Worth It in the Real World? - Francesco Marchiori; Marco Alecci; Luca Pajola; Mauro Conti (CoRR, 2025)

The Hidden Threat in Plain Text: Attacking RAG Data Loaders. - Alberto Castagnaro; Umberto Salviati; Mauro Conti; Luca Pajola; Simeone Pizzi (CoRR, 2025)

FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report. - Matteo Cardaioli; Luca Marangoni; Giada Martini; Francesco Mazzolin; Luca Pajola; Andrea Ferretto Parodi; Alessandra Saitta; Maria Chiara Vernillo (CoRR, 2025)