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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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Practical Black-Box Attacks against Machine Learning., , , , , and . AsiaCCS, page 506-519. ACM, (2017)Sponge Examples: Energy-Latency Attacks on Neural Networks., , , , , and . EuroS&P, page 212-231. IEEE, (2021)Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation., , , , , and . EuroS&P, page 241-257. IEEE, (2023)Machine Unlearning., , , , , , , and . CoRR, (2019)Data-Free Model Extraction., , , and . CoRR, (2020)Adversarial Examples in Constrained Domains., , , , and . CoRR, (2020)Robust and Actively Secure Serverless Collaborative Learning., , , , , , , , , and . CoRR, (2023)On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning., , , , , , , and . CoRR, (2022)Bad Characters: Imperceptible NLP Attacks., , , and . CoRR, (2021)On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches., , , , , , , and . CoRR, (2017)