7 papers
Multi-Task Consistency-based Detection of Adversarial Attacks
Cong Chen, Jean-Philippe Monteuuis, Jonathan Petit
Deep Neural Networks (DNNs) have found successful deployment in numerous vision perception systems. However, their susceptibility to adversarial attacks has prompted concerns regar…
ReasonBreak: Probing Vulnerabilities in Reasoning-Enabled Vision-Language-Action Models for Autonomous Driving
Mohammadreza Teymoorianfard, Jean-Philippe Monteuuis, Jonathan Petit +1
Vision-Language-Action (VLA) models with integrated reasoning have been proposed for end-to-end autonomous driving, assuming a tight coupling between reasoning and trajectory gener…
Codec-Robust Attacks on Audio LLMs
Jaechul Roh, Jean-Philippe Monteuuis, Jonathan Petit +1
Prior attacks on Audio Large Language Models (Audio LLMs) demonstrated that carefully crafted waveform-domain perturbations can force targeted adversarial outputs. As a defense mec…
The Great Pretender: A Stochasticity Problem in LLM Jailbreak
Jean-Philippe Monteuuis, Cong Chen, Jonathan Petit
"Oh-Oh, yes, I'm the great pretender. Pretending that I'm doing well. My need is such, I pretend too much..." summarizes the state in the area of jailbreak creation and evaluation.…
Systematic Discovery of Semantic Attacks in Online Map Construction through Conditional Diffusion
Chenyi Wang, Ruoyu Song, Raymond Muller +5
Autonomous vehicles depend on online HD map construction to perceive lane boundaries, dividers, and pedestrian crossings -- safety-critical road elements that directly govern motio…
CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception
Chenyi Wang, Ruoyu Song, Raymond Muller +5
Cooperative perception (CP) enhances situational awareness of connected and autonomous vehicles by exchanging and combining messages from multiple agents. While prior work has expl…