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Detect and remove watermark in deep neural networks via generative
  adversarial networks

Detect and remove watermark in deep neural networks via generative adversarial networks

15 June 2021
Haoqi Wang
Mingfu Xue
Shichang Sun
Yushu Zhang
Jian Wang
Weiqiang Liu
    AAML
ArXivPDFHTML

Papers citing "Detect and remove watermark in deep neural networks via generative adversarial networks"

5 / 5 papers shown
Title
Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities
Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities
Lele Cao
41
0
0
02 Apr 2025
FedRight: An Effective Model Copyright Protection for Federated Learning
FedRight: An Effective Model Copyright Protection for Federated Learning
Jinyin Chen
Mingjun Li
Mingjun Li
Haibin Zheng
FedML
17
11
0
18 Mar 2023
Attention Distraction: Watermark Removal Through Continual Learning with
  Selective Forgetting
Attention Distraction: Watermark Removal Through Continual Learning with Selective Forgetting
Qi Zhong
L. Zhang
Shengshan Hu
Longxiang Gao
Jun Zhang
Yang Xiang
WIGM
AAML
16
4
0
05 Apr 2022
Fingerprinting Image-to-Image Generative Adversarial Networks
Fingerprinting Image-to-Image Generative Adversarial Networks
Guanlin Li
Guowen Xu
Han Qiu
Shangwei Guo
Run Wang
Jiwei Li
Tianwei Zhang
Rongxing Lu
WIGM
22
0
0
19 Jun 2021
Intellectual Property Protection for Deep Learning Models: Taxonomy,
  Methods, Attacks, and Evaluations
Intellectual Property Protection for Deep Learning Models: Taxonomy, Methods, Attacks, and Evaluations
Mingfu Xue
Yushu Zhang
Jian Wang
Weiqiang Liu
9
48
0
27 Nov 2020
1