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Property Inference from Poisoning.

, , и . SP, стр. 1120-1137. IEEE, (2022)

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Sajjad Saeed

Semiramis Saeed-Akbari

Abdulla Saeed Hizam

Muhammad Farhan Saeed

Salman Saeed

 

Другие публикации лиц с тем же именем

Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture., , , , , , и . USENIX Security Symposium, стр. 1433-1450. USENIX Association, (2022)Computational Concentration of Measure: Optimal Bounds, Reductions, and More., , и . SODA, стр. 345-363. SIAM, (2020)Is Private Learning Possible with Instance Encoding?, , , , , , , и . SP, стр. 410-427. IEEE, (2021)Property Inference from Poisoning., , и . SP, стр. 1120-1137. IEEE, (2022)Model-Targeted Poisoning Attacks with Provable Convergence., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 10000-10010. PMLR, (2021)Polynomial-Time Targeted Attacks on Coin Tossing for Any Number of Corruptions., , , и . TCC (2), том 13043 из Lecture Notes in Computer Science, стр. 718-750. Springer, (2021)Computational Concentration of Measure: Optimal Bounds, Reductions, and More, , и . (2019)cite arxiv:1907.05401.Learning under p-tampering poisoning attacks., , и . Ann. Math. Artif. Intell., 88 (7): 759-792 (2020)Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning., , , , и . NeurIPS, (2022)Effectively Using Public Data in Privacy Preserving Machine Learning., , , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 25718-25732. PMLR, (2023)