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SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by
  Self-supervised Learning

SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning

8 September 2022
Peizhuo Lv
Pan Li
Shenchen Zhu
Shengzhi Zhang
Kai Chen
Ruigang Liang
Chang Yue
Fan Xiang
Yuling Cai
Hualong Ma
Yingjun Zhang
Guozhu Meng
    AAML
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Papers citing "SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning"

2 / 2 papers shown
Title
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Neural Honeytrace: A Robust Plug-and-Play Watermarking Framework against Model Extraction Attacks
Yixiao Xu
Binxing Fang
Rui Wang
Yinghai Zhou
S. Ji
Yuan Liu
Mohan Li
Zhihong Tian
MIACV
AAML
61
0
0
20 Jan 2025
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
238
3,359
0
09 Mar 2020
1