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20242026
most citedJailbreak Attacks and Defenses Against Large Language Models: A Survey

7 citations · 7 across the 17 of their papers we have counts for

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cs.CR2026

PixJail: Self-Evolving Paper-to-Pipeline Reproduction for Text-to-Image Jailbreak Evaluation

Leyi Sheng, Han Sun, Zhen Sun +4

As Text-to-Image (T2I) jailbreak techniques evolve rapidly, existing benchmarks and reproduction workflows often struggle to keep pace. More importantly, T2I jailbreak evaluation i…

cs.CR2026

On the Generation and Mitigation of Harmful Geometry in Image-to-3D Models

Yule Liu, Yilong Yang, Jiale Teng +11

Recent advances in image-to-3D models have significantly improved the fidelity and accessibility of 3D content creation. Such a powerful reconstruction capability that enables crea…

cs.CR2025

"To Survive, I Must Defect": Jailbreaking LLMs via the Game-Theory Scenarios

Zhen Sun, Zongmin Zhang, Deqi Liang +8

As LLMs become more common, non-expert users can pose risks, prompting extensive research into jailbreak attacks. However, most existing black-box jailbreak attacks rely on hand-cr…

cs.CR2024

Quantized Delta Weight Is Safety Keeper

Yule Liu, Zhen Sun, Xinlei He +1

Recent advancements in fine-tuning proprietary language models enable customized applications across various domains but also introduce two major challenges: high resource demands…

cs.CR202410 cited

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning

Zhen Sun, Tianshuo Cong, Yule Liu +5

Fine-tuning is an essential process to improve the performance of Large Language Models (LLMs) in specific domains, with Parameter-Efficient Fine-Tuning (PEFT) gaining popularity d…

cs.CR20247 cited

Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Sibo Yi, Yule Liu, Zhen Sun +5

Large Language Models (LLMs) have performed exceptionally in various text-generative tasks, including question answering, translation, code completion, etc. However, the over-assis…