1 citations · 1 across the 3 of their papers we have counts for
4 papers
MESA: Prioritizing Vulnerable Communication Channels for Securing Multi-Agent Systems
Kunyang Li, Kyle Domico, Jonathan Gregory +1
Multi-agent systems (MAS) are increasingly used to automate complex, distributed workflows. However, their inter-agent communication channels introduce new attack surfaces that rem…
Adversarial Agents: Black-Box Evasion Attacks with Reinforcement Learning
Kyle Domico, Jean-Charles Noirot Ferrand, Ryan Sheatsley +3
Attacks on machine learning models have been extensively studied through stateless optimization. In this paper, we demonstrate how a reinforcement learning (RL) agent can learn a n…
The Role of Learning in Attacking ML-based Network Intrusion Detection
Kyle Domico, Jean-Charles Noirot Ferrand, Patrick McDaniel
Machine learning (ML)-based network intrusion detection is susceptible to attacks that perturb malicious network flows to evade detection. Existing approaches to evaluating the rob…
Longitudinal Analyses of SAST Tools: A CodeQL Case Study
Jean-Charles Noirot Ferrand, Kyle Domico, Yohan Beugin +1
Open-source software (OSS) pipelines rely on automated static analysis tools to prevent the introduction of vulnerabilities in code. However, there is limited understanding of the…