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FedCIP: Federated Client Intellectual Property Protection with Traitor
  Tracking

FedCIP: Federated Client Intellectual Property Protection with Traitor Tracking

2 June 2023
Junchuan Liang
Rong Wang
    FedML
ArXivPDFHTML

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

8 / 8 papers shown
Title
Ten Challenging Problems in Federated Foundation Models
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
75
4
0
14 Feb 2025
Watermarking Recommender Systems
Watermarking Recommender Systems
Sixiao Zhang
Cheng Long
Wei Yuan
Hongxu Chen
Hongzhi Yin
AAML
30
0
0
17 Jul 2024
Exploring Federated Learning Dynamics for Black-and-White-Box DNN
  Traitor Tracing
Exploring Federated Learning Dynamics for Black-and-White-Box DNN Traitor Tracing
Elena Rodríguez Lois
Fernando Perez-Gonzalez
AAML
FedML
29
0
0
02 Jul 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning
  Model Ownership Protection
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
48
2
0
29 Feb 2024
Who Leaked the Model? Tracking IP Infringers in Accountable Federated
  Learning
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning
Shuyang Yu
Junyuan Hong
Yi Zeng
Fei Wang
Ruoxi Jia
Jiayu Zhou
FedML
22
9
0
06 Dec 2023
When Federated Learning meets Watermarking: A Comprehensive Overview of
  Techniques for Intellectual Property Protection
When Federated Learning meets Watermarking: A Comprehensive Overview of Techniques for Intellectual Property Protection
Mohammed Lansari
R. Bellafqira
K. Kapusta
V. Thouvenot
Olivier Bettan
G. Coatrieux
FedML
23
15
0
07 Aug 2023
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for
  Federated Learning
GRNN: Generative Regression Neural Network -- A Data Leakage Attack for Federated Learning
Hanchi Ren
Jingjing Deng
Xianghua Xie
SILM
AAML
FedML
46
100
0
02 May 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,032
0
29 Nov 2018
1