2 citations · 5 across the 6 of their papers we have counts for
6 papers
MechAudit-40: White-Box Auditing across 40 LLM Attack Mechanisms
Zhen Guo, Shanghao Shi, Shamim Yazdani +2
While LLM attacks span prompt optimization, multi-turn context manipulation, retrieval poisoning, and model backdoors, white-box defenses are typically evaluated on isolated attack…
Lost in Diffusion: Uncovering Hallucination Patterns and Failure Modes in Diffusion Large Language Models
Zhengnan Guo, Fei Tan
While Diffusion Large Language Models (dLLMs) have emerged as a promising non-autoregressive paradigm comparable to autoregressive (AR) models, their faithfulness, specifically reg…
TraceGuard: Process-Guided Firewall against Reasoning Backdoors in Large Language Models
Zhen Guo, Shanghao Shi, Hao Li +3
Large Reasoning Models (LRMs) introduce a reasoning-level attack surface: adversaries can corrupt intermediate inferences while preserving a plausible trace and an apparently benig…
DarkMind: Latent Chain-of-Thought Backdoor in Customized LLMs
Zhen Guo, Shanghao Shi, Shamim Yazdani +2
With the rapid rise of personalized AI, customized large language models (LLMs) equipped with Chain of Thought (COT) reasoning now power millions of AI agents. However, their compl…
Persistent Backdoor Attacks in Continual Learning
Zhen Guo, Abhinav Kumar, Reza Tourani
Backdoor attacks pose a significant threat to neural networks, enabling adversaries to manipulate model outputs on specific inputs, often with devastating consequences, especially…
Unveiling the Unseen: Exploring Whitebox Membership Inference through the Lens of Explainability
Chenxi Li, Abhinav Kumar, Zhen Guo +2
The increasing prominence of deep learning applications and reliance on personalized data underscore the urgent need to address privacy vulnerabilities, particularly Membership Inf…