3 papers
cs.LG2026
OTora: A Unified Red Teaming Framework for Reasoning-Level Denial-of-Service in LLM Agents
Xinyu Li, Ronghui Mu, Lin Li +2
Large Language Models (LLMs) are increasingly deployed as autonomous agents that execute tool-augmented, multi-step tasks, where latency is a critical factor for real-world applica…
cs.LG2025
CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing
Zixia Wang, Gaojie Jin, Jia Hu +1
Recent advancements in Large Language Models (LLMs) have led to their widespread adoption in daily applications. Despite their impressive capabilities, they remain vulnerable to ad…
cs.AI2025
Safety of Embodied Navigation: A Survey
Zixia Wang, Jia Hu, Ronghui Mu
As large language models (LLMs) continue to advance and gain influence, the development of embodied AI has accelerated, drawing significant attention, particularly in navigation sc…