Showing cs.SEShow all
3 papers · 1 filter
cs.SE2026
UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems
Jingyu Zhang, Jacky Wai Keung, Yan Xiao +3
Adversarial attacks play a pivotal role in testing and improving the reliability of deep learning (DL) systems. Existing literature has demonstrated that subtle perturbations to th…
cs.SE2026
Empirical Insights of Test Selection Metrics under Multiple Testing Objectives and Distribution Shifts
Jingyu Zhang, Fan Wang, Jacky Keung +3
Deep learning (DL)-based systems can exhibit unexpected behavior when exposed to out-of-distribution (OOD) scenarios, posing serious risks in safety-critical domains such as malwar…
cs.SE2025
FedLAD: A Modular and Adaptive Testbed for Federated Log Anomaly Detection
Yihan Liao, Jacky Keung, Zhenyu Mao +2
Log-based anomaly detection (LAD) is critical for ensuring the reliability of large-scale distributed systems. However, most existing LAD approaches assume centralized training, wh…