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Securing SIFT: Privacy-Preserving Outsourcing Computation of Feature Extractions Over Encrypted Image Data., , , , and . IEEE Trans. Image Processing, 25 (7): 3411-3425 (2016)MISA: Unveiling the Vulnerabilities in Split Federated Learning., , , , , , and . CoRR, (2023)Challenges and approaches for mitigating byzantine attacks in federated learning., , , and . CoRR, (2021)Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations., , , , , , and . CoRR, (2023)Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency., , , , , , , and . CVPR, page 16363-16372. IEEE, (2023)Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning., , , , , , and . IJCAI, page 4567-4575. ijcai.org, (2023)Catch me in the dark: Effective privacy-preserving outsourcing of feature extractions over image data., , , , , and . INFOCOM, page 1-9. IEEE, (2016)Outsourced Biometric Identification With Privacy., , , , and . IEEE Trans. Inf. Forensics Secur., 13 (10): 2448-2463 (2018)BOSSA: A Decentralized System for Proofs of Data Retrievability and Replication., , , , and . IEEE Trans. Parallel Distributed Syst., 32 (4): 786-798 (2021)Towards Private and Scalable Cross-Media Retrieval., , , , and . IEEE Trans. Dependable Secur. Comput., 18 (3): 1354-1368 (2021)