May 14, 2021 · This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model against model ...
This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model against.
This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model against model ...
May 14, 2021 · This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model ...
Workshop: Security and Safety in Machine Learning Systems. High-Robustness, Low-Transferability Fingerprinting of Neural Networks. Siyue Wang. Abstract: It ...
May 7, 2021 · This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model ...
Aug 1, 2021 · This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model against model ...
Mar 28, 2023 · Bibliographic details on Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks.
Jul 3, 2021 · The International Conference on Learning Representations (ICLR) is the premier gathering of professionals dedicated to the advancement of the ...
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This paper proposes Characteristic Examples for effectively fingerprinting deep neural networks, featuring high-robustness to the base model against model ...