Author

Jialing Tao

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Preprint Oct 2026

V$^3$AST-Bench: Verifiable, Valid, and Versatile Safety Evaluation for Coding Agents

Large language models increasingly act through code, modifying repositories, executing programs, and interacting with services in agent form. Their actions introduce risks that cannot be assessed from generated responses alone. Safety evaluation must verify actual consequences, distinguish harm avoidance from task inca...

Wei-Tao Feng, Heng-Heng Xiong, Zi-Hao Zeng et al. · 0 citations

Jul 2026

AEGIS: A Mechanism-Guided Defense against Visual Synonym Jailbreaks in Text-to-Image Models

This work proposes AEGIS (Adaptive Evasion Guard via Identification and Steering), an inference-time defense that applies similarity-aware repulsion only at the identified vulnerable heads of VSA and preserves benign fidelity, avoids suppressing hard-negative concepts, and transfers to SD 2.1 and FLUX.

Yuanmin Huang, Zhenfei Zhang, Mi Zhang et al. · arXiv.org · 0 citations

Preprint Jul 2026

Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models

Oyster-II is proposed, a reinforcement learning (RL)-based constructive safety alignment framework that adopts a Zero-RL paradigm combined with a multi-stage reinforcement learning strategy that comprehensively surpasses both Qwen3-14B and its predecessor Oyster-I on safety dimensions.

Jiyang Guan, Yong Xie, Jun Chen et al. · 0 citations