Autonomous driving system (ADS) testing is essential to ensure the safety and reliability of autonomous vehicles (AVs) prior to deployment. As ADSs are increasingly deployed in multi-AV traffic environments, it becomes crucial to assess their cooperative performance, particularly with respect to deadlock, a fundamental...
Ming-Fei Cheng, Xiao-Fei Xie, Li-Li Quan et al.· Proceedings of the ACM on So...· 0 citations
Veer is introduced, an agent-side runtime defense that leaves task planning to the base agent and intervenes on Web state when a proposed action would produce an unauthorized consequence, establishing task-relevant Web state as an effective runtime control target for protecting Web agents from deceptive outcomes.
EvoEye is proposed, which identifies the current monitor's errors, generates informative executions accordingly, and updates the monitor through self-evolution to enable effective self-evolution.
Mingfei Cheng, Lionel C. Briand, Xiaofei Xie· arXiv.org· 0 citations
Delta (Differential Testing for DRL Agents) is proposed, a novel and comprehensive framework that automatically identifies both safety-critical and optimality bugs in DRL agents and investigates the effectiveness of three offline RL algorithms in generating challenger agents.
Jun-Da He, Jie-Ke Shi, Zhou Yang et al.· Proceedings of the ACM on so...· 0 citations
The results show that access to repository history is insufficient: concealment becomes most effective when benign and malicious changes jointly occupy the auditor's active review context or when the stated purpose plausibly accounts for the attack-bearing diff.
