RLCracker: Exposing the Vulnerability of LLM Watermarks with Adaptive RL Attacks
Authors: Hanbo Huang, Yiran Zhang, Hao Zheng, Xuan Gong, Yihan Li, Lin Liu, Shiyu Liang | Published: 2025-09-25
Watermark Design
Cryptographic Backdoor for Neural Networks: Boon and Bane
Authors: Anh Tu Ngo, Anupam Chattopadhyay, Subhamoy Maitra | Published: 2025-09-25
Character-Level Perturbations Disrupt LLM Watermarks
Authors: Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang, He Zhang, Shirui Pan, Bo Liu, Asif Qumer Gill, Leo Yu Zhang | Published: 2025-09-11
Efficient and Verifiable Privacy-Preserving Convolutional Computation for CNN Inference with Untrusted Clouds
Authors: Jinyu Lu, Xinrong Sun, Yunting Tao, Tong Ji, Fanyu Kong, Guoqiang Yang | Published: 2025-08-18
Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
Authors: Zhifan Luo, Shuo Shao, Su Zhang, Lijing Zhou, Yuke Hu, Chenxu Zhao, Zhihao Liu, Zhan Qin | Published: 2025-08-13
Attacks and Defenses Against LLM Fingerprinting
Authors: Kevin Kurian, Ethan Holland, Sean Oesch | Published: 2025-08-12
EditMF: Drawing an Invisible Fingerprint for Your Large Language Models
Authors: Jiaxuan Wu, Yinghan Zhou, Wanli Peng, Yiming Xue, Juan Wen, Ping Zhong | Published: 2025-08-12
Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
Authors: Natalia Emelianova, Carlos Kamienski, Ronaldo C. Prati | Published: 2025-08-07
LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks
Authors: Ruoxi Wang, Kun Li, Minghui Xu, Yue Zhang, Kaidi Xu, Chunchi Liu, Yinhao Xiao, Xiuzhen Cheng | Published: 2025-07-07
FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on GPUs
Authors: Carlos Agulló-Domingo, Óscar Vera-López, Seyda Guzelhan, Lohit Daksha, Aymane El Jerari, Kaustubh Shivdikar, Rashmi Agrawal, David Kaeli, Ajay Joshi, José L. Abellán | Published: 2025-07-07