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Contrastive learning has become a popular technique to pre-train image encoders, which could be used to build various downstream classification models in an efficient way.
Embedding watermarks into deep neural networks
Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, and Shin’ichi Satoh · 2017
Earlier work this paper cites.
Turning your weakness into a strength: Watermarking deep neural networks by backdooring
Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, and Joseph Keshet · 2018
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Protecting intellectual property of deep neural networks with watermarking
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc Ph Stoecklin, Heqing Huang, and Ian Molloy · 2018
Earlier work this paper cites.
Xiaoyu Cao, Jinyuan Jia, and Neil Zhenqiang Gong · 2019
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Rethinking deep neural network ownership verification: Embedding passports to defeat ambiguity attacks
Lixin Fan, Kam Woh Ng, and Chee Seng Chan · 2019
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Badnets: Evaluating backdooring attacks on deep neural networks
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2019
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Sensitive-sample fingerprinting of deep neural networks
Zecheng He, Tianwei Zhang, and Ruby Lee · 2019
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Adversarial frontier stitching for remote neural network watermarking
Erwan Le Merrer, Patrick Perez, and Gilles Trédan · 2019
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How to prove your model belongs to you: A blind-watermark based framework to protect intellectual property of DNN
Zheng Li, Chengyu Hu, Yang Zhang, and Shanqing Guo · 2019
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Deep neural network fingerprinting by conferrable adversarial examples
Nils Lukas, Yuxuan Zhang, and Florian Kerschbaum · 2019
Cited alongside, same era.
Robust watermarking of neural network with exponential weighting
Ryota Namba and Jun Sakuma · 2019
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DeepSigns: An end-to-end watermarking framework for protecting the ownership of deep neural networks
Bita Darvish Rouhani, Huili Chen, and Farinaz Koushanfar · 2019
Cited alongside, same era.
Unsupervised learning of visual features by contrasting cluster assignments
Mathilde Caron, Ishan Misra, Julien Mairal, Priya Goyal, Piotr Bojanowski, and Armand Joulin · 2020
Cited alongside, same era.
Exploring simple siamese representation learning, 2020
Xinlei Chen and Kaiming He · 2020
Cited alongside, same era.
Poisoning and backdooring contrastive learning
Nicholas Carlini and Andreas Terzis · 2021
Later among the works it cites.
Temporal watermarks for deep reinforcement learning models
Kangjie Chen, Shangwei Guo, Tianwei Zhang, Shuxin Li, and Yang Liu · 2021
Later among the works it cites.
Fine-tuning is not enough: A simple yet effective watermark removal attack for dnn models
Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, and Yang Liu · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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When nas meets watermarking: Ownership verification of dnn models via cache side channels
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Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Improved baselines with momentum contrastive learning
Xinlei Chen, Haoqi Fan, Ross Girshick, and Kaiming He · 2020
Cited alongside, same era.
Bootstrap your own latent: A new approach to self-supervised learning, 2020
Jean-Bastien Grill, Florian Strub, Florent Altché, Corentin Tallec, Pierre H. Richemond, Elena Buchatskaya, Carl Doersch, Bernardo Avila Pires, Zhaohan Daniel Guo, Mohammad Gheshlaghi Azar, Bilal Piot, Koray Kavukcuoglu, Rémi Munos, and Michal Valko · 2020
Cited alongside, same era.
Model watermarking for image processing networks
Jie Zhang, Dongdong Chen, Jing Liao, Han Fang, Weiming Zhang, Wenbo Zhou, Hao Cui, and Nenghai Yu · 2020
Cited alongside, same era.
Lou Xiaoxuan, Guo Shangwei, Zhang Tianwei, Liu Yang, et al · 2021
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Barlow twins: Self-supervised learning via redundancy reduction
Jure Zbontar, Li Jing, Ishan Misra, Yann LeCun, and Stéphane Deny · 2021
Later among the works it cites.
Trojaning language models for fun and profit
Xinyang Zhang, Zheng Zhang, Shouling Ji, and Ting Wang · 2021
Later among the works it cites.
Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning
Jinyuan Jia, Yupei Liu, and Neil Zhenqiang Gong · 2022
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