Multi-Designated Detector Watermarking for Language Models
Authors: Zhengan Huang, Gongxian Zeng, Xin Mu, Yu Wang, Yue Yu | Published: 2024-09-26 | Updated: 2024-10-01
ウォーターマーキング
Exploring User-level Gradient Inversion with a Diffusion Prior
Authors: Zhuohang Li, Andrew Lowy, Jing Liu, Toshiaki Koike-Akino, Bradley Malin, Kieran Parsons, Ye Wang | Published: 2024-09-11
On the Weaknesses of Backdoor-based Model Watermarking: An Information-theoretic Perspective
Authors: Aoting Hu, Yanzhi Chen, Renjie Xie, Adrian Weller | Published: 2024-09-10
Training quantum machine learning models on cloud without uploading the data
Authors: Guang Ping He | Published: 2024-09-06 | Updated: 2024-10-07
Comment on Revisiting Neural Program Smoothing for Fuzzing
Authors: Dongdong She, Kexin Pei, Junfeng Yang, Baishakhi Ray, Suman Jana | Published: 2024-09-06
Poster: Developing an O-RAN Security Test Lab
Authors: Sotiris Michaelides, David Rupprecht, Katharina Kohls | Published: 2024-09-02
Defending against Model Inversion Attacks via Random Erasing
Authors: Viet-Hung Tran, Ngoc-Bao Nguyen, Son T. Mai, Hans Vandierendonck, Ngai-man Cheung | Published: 2024-09-02
Different Victims, Same Layout: Email Visual Similarity Detection for Enhanced Email Protection
Authors: Sachin Shukla, Omid Mirzaei | Published: 2024-08-29 | Updated: 2024-09-04
Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training
Authors: Huitong Jin, Yipeng Zhou, Laizhong Cui, Quan Z. Sheng | Published: 2024-08-18
Random Gradient Masking as a Defensive Measure to Deep Leakage in Federated Learning
Authors: Joon Kim, Sejin Park | Published: 2024-08-15