11 papers
How Do Hardware Faults Manifest Differently in LLM Agents?
Aiden Rubey, Zachary Coalson, Cong Chen +3
We present the first systematic study of the resilience of large language model (LLM) agents to random hardware-induced faults. Prior work on hardware fault resilience in LLMs focu…
MLCommons Jailbreak Benchmark v1.0
Carsten Maple, Cagatay Yucel, Isaac Holeman +33
Modern AI systems are designed to refuse hazardous requests. A jailbreak is a prompt crafted to bypass those safeguards and elicit outputs that the system would normally refuse to…
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…
Uncertainty Quantification for Collaborative Object Detection Under Adversarial Attacks
Huiqun Huang, Cong Chen, Jean-Philippe Monteuuis +2
Collaborative Object Detection (COD) and collaborative perception can integrate data or features from various entities, and improve object detection accuracy compared with individu…
V2X Misbehavior in Maneuver Sharing and Coordination Service: Considerations for Standardization
Jean-Philippe Monteuuis, Jonathan Petit, Mohammad Raashid Ansari +2
Connected and Automated Vehicles (CAV) use sensors and wireless communication to improve road safety and efficiency. However, attackers may target Vehicle-to-Everything (V2X) commu…
V2X Misbehavior and Collective Perception Service: Considerations for Standardization
Mohammad Raashid Ansari, Jean-Philippe Monteuuis, Jonathan Petit +1
Connected and Automated Vehicles use sensors and wireless communication to improve road safety and efficiency. However, attackers may target Vehicle-to-Everything communication. In…