Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
Authors: Junjie Xiong, Changjia Zhu, Shuhang Lin, Chong Zhang, Yongfeng Zhang, Yao Liu, Lingyao Li | Published: 2025-05-22
Backdoor Cleaning without External Guidance in MLLM Fine-tuning
Authors: Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye | Published: 2025-05-22
CAIN: Hijacking LLM-Humans Conversations via a Two-Stage Malicious System Prompt Generation and Refining Framework
Authors: Viet Pham, Thai Le | Published: 2025-05-22
Unlearning Isn’t Deletion: Investigating Reversibility of Machine Unlearning in LLMs
Authors: Xiaoyu Xu, Xiang Yue, Yang Liu, Qingqing Ye, Haibo Hu, Minxin Du | Published: 2025-05-22
CoTSRF: Utilize Chain of Thought as Stealthy and Robust Fingerprint of Large Language Models
Authors: Zhenzhen Ren, GuoBiao Li, Sheng Li, Zhenxing Qian, Xinpeng Zhang | Published: 2025-05-22
When Safety Detectors Aren’t Enough: A Stealthy and Effective Jailbreak Attack on LLMs via Steganographic Techniques
Authors: Jianing Geng, Biao Yi, Zekun Fei, Tongxi Wu, Lihai Nie, Zheli Liu | Published: 2025-05-22
Mitigating Fine-tuning Risks in LLMs via Safety-Aware Probing Optimization
Authors: Chengcan Wu, Zhixin Zhang, Zeming Wei, Yihao Zhang, Meng Sun | Published: 2025-05-22
BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models
Authors: Xiaobei Yan, Yiming Li, Zhaoxin Fan, Han Qiu, Tianwei Zhang | Published: 2025-05-22
Finetuning-Activated Backdoors in LLMs
Authors: Thibaud Gloaguen, Mark Vero, Robin Staab, Martin Vechev | Published: 2025-05-22
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
Authors: Biao Yi, Tiansheng Huang, Baolei Zhang, Tong Li, Lihai Nie, Zheli Liu, Li Shen | Published: 2025-05-22