AISec@CCS

Publications

2023

Benoît Coqueret, Mathieu Carbone, Olivier Sentieys, Gabriel Zaid
When Side-Channel Attacks Break the Black-Box Property of Embedded Artificial Intelligence. AISec@CCS (2023)
Amol Khanna, Fred Lu, Edward Raff, Brian Testa
Differentially Private Logistic Regression with Sparse Solutions. AISec@CCS (2023)
Chris Hicks, Vasilios Mavroudis, Myles Foley, Thomas Davies, Kate Highnam, Tim Watson
Canaries and Whistles: Resilient Drone Communication Networks with (or without) Deep Reinforcement Learning. AISec@CCS (2023)
Theo Chow, Zeliang Kan, Lorenz Linhardt, Lorenzo Cavallaro, Daniel Arp, Fabio Pierazzi
Drift Forensics of Malware Classifiers. AISec@CCS (2023)
Md Asifur Rahman, Sarra Alqahtani
Task-Agnostic Safety for Reinforcement Learning. AISec@CCS (2023)
Tobias Lorenz, Marta Kwiatkowska, Mario Fritz
Certifiers Make Neural Networks Vulnerable to Availability Attacks. AISec@CCS (2023)
Florian A. Hölzl, Daniel Rueckert, Georgios Kaissis
Equivariant Differentially Private Deep Learning: Why DP-SGD Needs Sparser Models. AISec@CCS (2023)
Daniel Gibert, Giulio Zizzo, Quan Le
Certified Robustness of Static Deep Learning-based Malware Detectors against Patch and Append Attacks. AISec@CCS (2023)
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora. AISec@CCS (2023)
Elizabeth Bates, Vasilios Mavroudis, Chris Hicks
Reward Shaping for Happier Autonomous Cyber Security Agents. AISec@CCS (2023)
Tyler LeBlond, Joseph Munoz, Fred Lu, Maya Fuchs, Elliott Zaresky-Williams, Edward Raff, Brian Testa
Probing the Transition to Dataset-Level Privacy in ML Models Using an Output-Specific and Data-Resolved Privacy Profile. AISec@CCS (2023)
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, AISec 2023, Copenhagen, Denmark, 30 November 2023 AISec@CCS (2023)
Rajesh Kumar, Can Isik, Chilukuri Krishna Mohan
Dictionary Attack on IMU-based Gait Authentication. AISec@CCS (2023)
Dudi Biton, Aditi Misra, Efrat Levy, Jaidip Kotak, Ron Bitton, Roei Schuster, Nicolas Papernot, Yuval Elovici, Ben Nassi
The Adversarial Implications of Variable-Time Inference. AISec@CCS (2023)
Luke E. Richards, Edward Raff, Cynthia Matuszek
Measuring Equality in Machine Learning Security Defenses: A Case Study in Speech Recognition. AISec@CCS (2023)
Sahar Abdelnabi, Kai Greshake, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz
Not What You've Signed Up For: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection. AISec@CCS (2023)
Tomás Chobola, Dmitrii Usynin, Georgios Kaissis
Membership Inference Attacks Against Semantic Segmentation Models. AISec@CCS (2023)
Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors. AISec@CCS (2023)
Reza Nasirigerdeh, Daniel Rueckert, Georgios Kaissis
Utility-preserving Federated Learning. AISec@CCS (2023)
Mario D'Onghia, Federico Di Cesare, Luigi Gallo, Michele Carminati, Mario Polino, Stefano Zanero
Lookin' Out My Backdoor! Investigating Backdooring Attacks Against DL-driven Malware Detectors. AISec@CCS (2023)
Tian Hui, Farhad Farokhi, Olga Ohrimenko
Information Leakage from Data Updates in Machine Learning Models. AISec@CCS (2023)
Erik Imgrund, Tom Ganz, Martin Härterich, Lukas Pirch, Niklas Risse, Konrad Rieck
Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. AISec@CCS (2023)

2022

2021