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
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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
DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP Protection
Authors: Yuliang Yan, Haochun Tang, Shuo Yan, Enyan Dai | Published: 2025-05-22
Password Strength Detection via Machine Learning: Analysis, Modeling, and Evaluation
Authors: Jiazhi Mo, Hailu Kuang, Xiaoqi Li | Published: 2025-05-22
ReCopilot: Reverse Engineering Copilot in Binary Analysis
Authors: Guoqiang Chen, Huiqi Sun, Daguang Liu, Zhiqi Wang, Qiang Wang, Bin Yin, Lu Liu, Lingyun Ying | Published: 2025-05-22
SuperPure: Efficient Purification of Localized and Distributed Adversarial Patches via Super-Resolution GAN Models
Authors: Hossein Khalili, Seongbin Park, Venkat Bollapragada, Nader Sehatbakhsh | Published: 2025-05-22
Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
Authors: Kalindi Singh, Aayush Kashyap, Aswani Kumar Cherukuri | Published: 2025-05-22