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Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation.

, , , , , and . EuroS&P, page 241-257. IEEE, (2023)

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An Empirical Evaluation of Perturbation-based Defenses., and . CoRR, (2020)DeepLens: Towards a Visual Data Management System., , and . CIDR, www.cidrdb.org, (2019)Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation., , , , , and . EuroS&P, page 241-257. IEEE, (2023)Robust and Actively Secure Serverless Collaborative Learning., , , , , , , , , and . CoRR, (2023)Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks., , , , , and . ECAI, volume 392 of Frontiers in Artificial Intelligence and Applications, page 1438-1445. IOS Press, (2024)DBMS Data Loading: An Analysis on Modern Hardware., , , , and . ADMS/IMDM@VLDB, volume 10195 of Lecture Notes in Computer Science, page 95-117. Springer, (2016)Dataset Inference for Self-Supervised Models., , , , , , , and . NeurIPS, (2022)On the Difficulty of Defending Self-Supervised Learning against Model Extraction., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 5757-5776. PMLR, (2022)Increasing the Cost of Model Extraction with Calibrated Proof of Work., , , and . ICLR, OpenReview.net, (2022)Pretrained Transformers Improve Out-of-Distribution Robustness., , , , , and . ACL, page 2744-2751. Association for Computational Linguistics, (2020)