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Private Multi-Winner Voting for Machine Learning., , , , , , , , and . Proc. Priv. Enhancing Technol., 2023 (1): 527-555 (January 2023)Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers., , , , and . ACM Conference on Computer and Communications Security, page 2653-2655. ACM, (2019)Edgefool: an Adversarial Image Enhancement Filter., , and . ICASSP, page 1898-1902. IEEE, (2020)Private and Scalable Personal Data Analytics Using Hybrid Edge-to-Cloud Deep Learning., , , , and . Computer, 51 (5): 42-49 (2018)Deep Learning for Privacy in Multimedia., , and . ACM Multimedia, page 4777-4778. ACM, (2020)Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation., , , , , and . EuroS&P, page 241-257. IEEE, (2023)Privacy-Preserving Deep Inference for Rich User Data on The Cloud., , , , , , and . CoRR, (2017)Exploiting Vulnerabilities of Deep Neural Networks for Privacy Protection., , , , and . IEEE Trans. Multim., 22 (7): 1862-1873 (2020)EdgeFool: An Adversarial Image Enhancement Filter., , and . CoRR, (2019)Towards Characterizing and Limiting Information Exposure in DNN Layers., , , , and . CoRR, (2019)