3 papers
cs.AI2026
PEAR: Permutation-Equivariant Adaptive Routing Multi-Agent Debate
Yang Feng, Ziwei Xu, Xia Hu +1
Multi-agent debate improves the reliability of large language models (LLMs) through iterative peer critiques. However, fixed topologies often introduce persistent positional biases…
cs.CR2026
SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection
Yang Feng, Xudong Pan
Malicious agents pose significant threats to the reliability and decision-making capabilities of Multi-Agent Systems (MAS) powered by Large Language Models (LLMs). Existing defense…
cs.CR2025
StruPhantom: Evolutionary Injection Attacks on Black-Box Tabular Agents Powered by Large Language Models
Yang Feng, Xudong Pan
The proliferation of autonomous agents powered by large language models (LLMs) has revolutionized popular business applications dealing with tabular data, i.e., tabular agents. Alt…