Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks

Author:

Guo Jun1ORCID,Zheng Xingyu1ORCID,Liu Aishan2ORCID,Liang Siyuan3ORCID,Xiao Yisong1ORCID,Wu Yichao4ORCID,Liu Xianglong5ORCID

Affiliation:

1. Beihang University, Beijing, China

2. NLSDE, Beihang University & Institute of Dataspace, Beijing, China

3. Chinese Academy of Sciences, Beijing, China

4. SenseTime Group Limited, Beijing, China

5. NLSDE, Beihang University, Zhongguancun Laboratory, & Institute of Dataspace, Beijing & Hefei, China

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

ACM

Reference63 articles.

1. Cosine Model Watermarking against Ensemble Distillation

2. Tarin Clanuwat , Mikel Bober-Irizar , Asanobu Kitamoto , Alex Lamb , Kazuaki Yamamoto , and David Ha. 2018. Deep learning for classical japanese literature. arXiv preprint arXiv:1812.01718 ( 2018 ). Tarin Clanuwat, Mikel Bober-Irizar, Asanobu Kitamoto, Alex Lamb, Kazuaki Yamamoto, and David Ha. 2018. Deep learning for classical japanese literature. arXiv preprint arXiv:1812.01718 (2018).

3. Gregory Cohen , Saeed Afshar , Jonathan Tapson , and Andre Van Schaik . 2017 . EMNIST: Extending MNIST to handwritten letters. In 2017 international joint conference on neural networks (IJCNN) . IEEE , 2921--2926. Gregory Cohen, Saeed Afshar, Jonathan Tapson, and Andre Van Schaik. 2017. EMNIST: Extending MNIST to handwritten letters. In 2017 international joint conference on neural networks (IJCNN). IEEE, 2921--2926.

4. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

5. Ian J Goodfellow , Jonathon Shlens , and Christian Szegedy . 2015 . Explaining and harnessing adversarial examples . In International Conference on Learning Representations. Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015. Explaining and harnessing adversarial examples. In International Conference on Learning Representations.

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