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Learning under p-Tampering Attacks.

, , и . ISAIM, (2018)

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Semiramis Saeed-Akbari

Sajjad Saeed

Abdulla Saeed Hizam

Muhammad Farhan Saeed

Salman Saeed

 

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SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification., , , , и . CoRR, (2021)Fight Poison with Poison: Detecting Backdoor Poison Samples via Decoupling Benign Correlations., , , и . CoRR, (2022)Improving Adversarial Robustness Using Proxy Distributions., , , , , , и . CoRR, (2021)Private Fine-tuning of Large Language Models with Zeroth-order Optimization., , , , и . CoRR, (2024)Computational Concentration of Measure: Optimal Bounds, Reductions, and More., , и . SODA, стр. 345-363. SIAM, (2020)Multi-party Poisoning through Generalized p-Tampering., , и . CoRR, (2018)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)Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture., , , , , , и . USENIX Security Symposium, стр. 1433-1450. USENIX Association, (2022)Model-Targeted Poisoning Attacks with Provable Convergence., , , , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 10000-10010. PMLR, (2021)