1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
X-RAY: Mapping LLM Reasoning Capability via Formalized and Calibrated Probes
Tianxi Gao, Yufan Cai, Yusi Yuan +1
Large language models (LLMs) achieve promising performance, yet their ability to reason remains poorly understood. Existing evaluations largely emphasize task-level accuracy, often…
cs.CR2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Hangsheng Zhang, Jiqiang Liu, Jinsong Dong
Ensemble defenses, are widely employed in various security-related applications to enhance model performance and robustness. The widespread adoption of these techniques also raises…
cs.CR2024★ 1 cited
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors
Hangsheng Zhang, Dongqi Han, Yinlong Liu +5
espite being widely used in network intrusion detection systems (NIDSs), machine learning (ML) has proven to be highly vulnerable to adversarial attacks. White-box and black-box ad…