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Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning using Independent Component Analysis.

, , , , , , and . CoRR, (2022)

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Understanding and Mitigating Privacy Vulnerabilities in Deep Learning.. Georgia Institute of Technology, Atlanta, GA, USA, (2023)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/70130).SHAP@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features., , , and . AAAI, page 13068-13075. AAAI Press, (2024)Measuring and Controlling Split Layer Privacy Leakage Using Fisher Information., , , and . CoRR, (2022)Defending Against Model Stealing Attacks With Adaptive Misinformation., and . CVPR, page 767-775. Computer Vision Foundation / IEEE, (2020)ExPLoit: Extracting Private Labels in Split Learning., and . SaTML, page 165-175. IEEE, (2023)Information Flow Control in Machine Learning through Modular Model Architecture., , , , , , , , , and . USENIX Security Symposium, USENIX Association, (2024)Enabling Transparent Memory-Compression for Commodity Memory Systems., , and . HPCA, page 570-581. IEEE, (2019)MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation., , and . CVPR, page 13814-13823. Computer Vision Foundation / IEEE, (2021)Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis., , , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15884-15899. PMLR, (2023)Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions., , , , , and . ICML, OpenReview.net, (2024)