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Privacy-Preserving Face Recognition Using Random Frequency Components.

, , , , , , , and . ICCV, page 19616-19627. IEEE, (2023)

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Flexible Differentially Private Vertical Federated Learning with Adaptive Feature Embeddings., , , , , and . CoRR, (2023)Identifying Backdoor Attacks in Federated Learning via Anomaly Detection., , , and . APWeb/WAIM (3), volume 14333 of Lecture Notes in Computer Science, page 111-126. Springer, (2023)Privacy-Preserving Face Recognition Using Random Frequency Components., , , , , , , and . ICCV, page 19616-19627. IEEE, (2023)DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain., , , , , , and . ACM Multimedia, page 6755-6764. ACM, (2022)Privacy-Preserving Face Recognition Using Trainable Feature Subtraction., , , , , , , , and . CoRR, (2024)ARIBA: Towards Accurate and Robust Identification of Backdoor Attacks in Federated Learning., , and . CoRR, (2022)FedMDR: Federated Model Distillation with Robust Aggregation., , , and . APWeb/WAIM (2), volume 12859 of Lecture Notes in Computer Science, page 18-32. Springer, (2021)Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data., , , , , , , , , and 48 other author(s). CoRR, (2024)