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Zhan Qin

Adaptive and Explicit $$\texttt {<safe>}$$: Triggering Latent Safety Awareness in Large Reasoning Models
2026 · Ke Miao, Jiaxin Li, et al. · Lecture notes in computer science
REIN: Bridging the Gap between Reasoning and Reliability via Reflection and Abstention Alignment
2026 · Huang, Zhengze, Yu, Luyang, et al. · arXiv (Cornell University)
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Adaptive and Explicit safe: Triggering Latent Safety Awareness in Large Reasoning Models
2026 · Miao, Ke, Li, Jiaxin, et al. · arXiv (Cornell University)
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TRACE: Task-Aware Adaptive Self-Evolving Agentic Jailbreaking
2026 · Zeng, Churui, Xiu, Kedong, et al. · arXiv (Cornell University)
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EVA: Editing for Versatile Alignment against Jailbreaks
2026 · Wang, Yi, Qiu, Hongye, et al. · arXiv (Cornell University)
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Holographic Transformers for Complex-Valued Signal Processing: Integrating Phase Interference into Self-Attention
2026 · Enhao Huang, Zhiyu Zhang, et al. · IEEE International Conference on Acoustics Speech and Signal Processing
Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms
2026 · Wang, Bo, Ni, Jia, et al. · arXiv (Cornell University)
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Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models
2026 · Qi, Weiwei, Wu, Zefeng, et al. · arXiv (Cornell University)
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Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets
2026 · Yang, Yuchen, Lin, Wenze, et al. · arXiv (Cornell University)
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SpatialJB: How Text Distribution Art Becomes the "Jailbreak Key" for LLM Guardrails
2026 · Mou, Zhiyi, Yang, Jingyuan, et al. · arXiv (Cornell University)
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Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models
2026 · Weiwei Qi, Zefeng Wu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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DataShield: Uncovering Risky Fine-Tuning Data Across LLMs Through Consensus Subspace Alignment
2026 · Zefeng Wu, Weiwei Qi, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Towards Evaluation for Real-World LLM Unlearning
2025 · Miao, Ke, Hu, Yuke, et al. · arXiv (Cornell University)
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Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning
2025 · Boheng Li, Renjie Gu, et al. · neural information processing systems
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Works count: 14
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