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URET: Universal Robustness Evaluation Toolkit (for Evasion).

, , , , , and . USENIX Security Symposium, page 3817-3833. USENIX Association, (2023)

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Ares: A System-Oriented Wargame Framework for Adversarial ML., , , and . SP (Workshops), page 73-79. IEEE, (2022)Tyche: Risk-Based Permissions for Smart Home Platforms., , , and . CoRR, (2018)Robust Physical-World Attacks on Deep Learning Models, , , , , , , , and . (2017)cite arxiv:1707.08945Comment: Accepted to CVPR 2018.Adaptive Verifiable Training Using Pairwise Class Similarity., , , , and . AAAI, page 10201-10209. AAAI Press, (2021)DeTA: Minimizing Data Leaks in Federated Learning via Decentralized and Trustworthy Aggregation., , , , , , and . EuroSys, page 219-235. ACM, (2024)Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models., , , , , , , , , and 2 other author(s). SP (Workshops), page 45-56. IEEE, (2023)Ensuring Authorized Updates in Multi-user Database-Backed Applications., , and . USENIX Security Symposium, page 1445-1462. USENIX Association, (2017)Separation of Powers in Federated Learning (Poster Paper)., , , , , , and . ResilientFL, page 16-18. ACM, (2021)Accelerating Certified Robustness Training via Knowledge Transfer., , and . NeurIPS, (2022)Tyche: A Risk-Based Permission Model for Smart Homes., , , and . SecDev, page 29-36. IEEE Computer Society, (2018)