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Tyche: A Risk-Based Permission Model for Smart Homes., , , и . SecDev, стр. 29-36. IEEE Computer Society, (2018)Accelerating Certified Robustness Training via Knowledge Transfer., , и . NeurIPS, (2022)Separation of Powers in Federated Learning (Poster Paper)., , , , , , и . ResilientFL, стр. 16-18. ACM, (2021)Transferable Adversarial Robustness using Adversarially Trained Autoencoders., , , и . CoRR, (2019)Ensuring Authorized Updates in Multi-user Database-Backed Applications., , и . USENIX Security Symposium, стр. 1445-1462. USENIX Association, (2017)Adaptive Verifiable Training Using Pairwise Class Similarity., , , , и . AAAI, стр. 10201-10209. AAAI Press, (2021)Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models., , , , , , , , , и 2 other автор(ы). SP (Workshops), стр. 45-56. IEEE, (2023)DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation., , , , , , и . EuroSys, стр. 219-235. ACM, (2024)Designing and Evaluating Physical Adversarial Attacks and Defenses for Machine Learning Algorithms.. University of Michigan, USA, (2019)URET: Universal Robustness Evaluation Toolkit (for Evasion)., , , , , и . USENIX Security Symposium, стр. 3817-3833. USENIX Association, (2023)