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Tsung-Yi Ho

Chinese University of Hong Kong, Hong Kong, SAR, China

20 papers at tracked venues · 19 at CORE A* · active 2024–2026

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Venues

NeurIPS ×6AAAI ×4ACL ×4ICLR ×3CVPR ×1ICML ×1MICCAI ×1

Frequent coauthors

Zaitang Li
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Chen Xiong
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Xiaomeng Hu
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Peng Xu
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Lei Hsiung
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Lancheng Zou
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Qingpeng Kong
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Hsi-Ai Tsao
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Zhiyuan He
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Shengwei An
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Yijun Yang
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Hao-Lun Sun
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Papers

  1. GRE Score: Generative Risk Evaluation for Large Language Models
    ACL 2026 ·
    Zaitang Li
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  2. Hey, That's My Data! Token-Only Dataset Inference in Large Language Models
    ACL 2026 ·
    Chen Xiong
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  3. KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
    AAAI 2026 ·
    Peng Xu
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  4. Why LLM Safety Guardrails Collapse After Fine-tuning: A Similarity Analysis Between Alignment and Fine-tuning Datasets
    ACL 2026 ·
    Lei Hsiung
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  5. CARE: Decoding-Time Safety Alignment via Rollback and Introspection Intervention
    NeurIPS 2025 ·
    Xiaomeng Hu
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  6. CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
    NeurIPS 2025 ·
    Chen Xiong
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  7. Defensive Prompt Patch: A Robust and Generalizable Defense of Large Language Models against Jailbreak Attacks
    ACL 2025 ·
    Chen Xiong
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  8. PermLLM: Learnable Channel Permutation for N: M Sparse Large Language Models
    NeurIPS 2025 ·
    Lancheng Zou
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  9. Retention Score: Quantifying Jailbreak Risks for Vision Language Models
    AAAI 2025 ·
    Zaitang Li
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  10. Token Highlighter: Inspecting and Mitigating Jailbreak Prompts for Large Language Models
    AAAI 2025 ·
    Xiaomeng Hu
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  11. Achieving Fairness Through Channel Pruning for Dermatological Disease Diagnosis
    MICCAI 2024 ·
    Qingpeng Kong
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  12. AutoVP: An Automated Visual Prompting Framework and Benchmark
    ICLR 2024 ·
    Hsi-Ai Tsao
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  13. Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning
    ICML 2024 ·
    Zhiyuan He
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  14. Elijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift
    AAAI 2024 ·
    Shengwei An
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  15. GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
    NeurIPS 2024 ·
    Zaitang Li
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  16. Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes
    NeurIPS 2024 ·
    Xiaomeng Hu
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  17. MMA-Diffusion: MultiModal Attack on Diffusion Models
    CVPR 2024 ·
    Yijun Yang
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  18. NeuralFuse: Learning to Recover the Accuracy of Access-Limited Neural Network Inference in Low-Voltage Regimes
    NeurIPS 2024 ·
    Hao-Lun Sun
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  19. Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
    ICLR 2024 ·
    Ming-Yu Chung
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  20. The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
    ICLR 2024 ·
    Yan Liu
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