DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks - researchr publication authors

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Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal. DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks. In Annual Computer Security Applications Conference, ACSAC 2023, Austin, TX, USA, December 4-8, 2023. pages 535-549, ACM, 2023. [doi]

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