Author

Mengnan Zhao

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Preprint Aug 2026

Confusion-Geometry Rebalancing for Long-Tailed Adversarial Training

A Confusion Geometry Rebalancing method for long tail adversarial training, a plug in framework that leverages directed robust errors as training signals and couples feedback weighted robust optimization with graph guided margin correction, thereby boosting the robustness of vulnerable classes and sharpening the critic...

Mengnan Zhao, Ge-Yong Min, Lihe Zhang et al. · 0 citations

Preprint Aug 2026

ProbGuard: Calibrated Safety Risk Estimation from LLM Output Distributions

This work proposes the first completely probabilistic architecture-agnostic guardrail to leverage the LLM early output distributional signals for estimating and calibrating the safety probability, thereby enabling early stopping of unsafe ongoing outputs.

Xinzhe Huang, Biwu Yao, Kedong Xiu et al. · 0 citations

#machine learning Preprint Jul 2026

AgentSnare: Learning to Delay, Divert, and Defuse Autonomous Penetration Agents

This work introduces AgentSnare, a trajectory-adaptive deception system that dynamically unfolds a decoy environment to continually steer the penetration agent away from the real target.

Ruoyu Wang, Heng Zhao, Renjie Wu et al. · 2 citations