FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking

2 June 2023

Papers citing "FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking"

9 / 9 papers shown

Title
Traceable Black-box Watermarks for Federated Learning Jiahao Xu Rui Hu Olivera Kotevska Zikai Zhang FedML 23 0 0 19 May 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
Watermarking Recommender Systems Sixiao Zhang Cheng Long Wei Yuan Hongxu Chen Hongzhi Yin AAML 32 0 0 17 Jul 2024
Exploring Federated Learning Dynamics for Black-and-White-Box DNN Traitor Tracing Elena Rodríguez Lois Fernando Perez-Gonzalez AAML FedML 37 0 0 02 Jul 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection Yang Xu Yunlin Tan Cheng Zhang Kai Chi Peng Sun Wenyuan Yang Ju Ren Hongbo Jiang Yaoxue Zhang FedML 60 3 0 29 Feb 2024
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning Shuyang Yu Junyuan Hong Yi Zeng Fei Wang Ruoxi Jia Jiayu Zhou FedML 47 10 0 06 Dec 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection Mohammed Lansari Reda Bellafqira K. Kapusta V. Thouvenot Olivier Bettan Gouenou Coatrieux FedML 30 17 0 07 Aug 2023
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning Hanchi Ren Jingjing Deng Xianghua Xie SILM AAML FedML 56 101 0 02 May 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,033 0 29 Nov 2018