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Generative Models for Security: Attacks, Defenses, and Opportunities.

, и . CoRR, (2021)

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Vincent Kuhn

Vincent Saderne

Vincent Liebert

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Vincent Kisselbach

 

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Privacy accounting εconomics: Improving differential privacy composition via a posteriori bounds., , , и . Proc. Priv. Enhancing Technol., 2022 (3): 222-246 (2022)Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems., , , , , , , и . NDSS, The Internet Society, (2023)On the Choice of Databases in Differential Privacy Composition., , и . CoRR, (2022)Synthesizing Plausible Privacy-Preserving Location Traces., и . IEEE Symposium on Security and Privacy, стр. 546-563. IEEE Computer Society, (2016)Towards Realistic Membership Inferences: The Case of Survey Data., и . ACSAC, стр. 116-128. ACM, (2020)Demystifying Limited Adversarial Transferability in Automatic Speech Recognition Systems., , , и . ICLR, OpenReview.net, (2022)Generative Models for Security: Attacks, Defenses, and Opportunities., и . CoRR, (2021)Elite: Automatic Orchestration of Elastic Detection Services to Secure Cloud Hosting., , , , и . RAID, том 9404 из Lecture Notes in Computer Science, стр. 588-614. Springer, (2015)A Pragmatic Approach to Membership Inferences on Machine Learning Models., , , , , , , и . EuroS&P, стр. 521-534. IEEE, (2020)Understanding Membership Inferences on Well-Generalized Learning Models., , , , , , , и . CoRR, (2018)