Compressed Data Sharing Based On Information Bottleneck Model

Author:

Razeghi Behrooz1,Rezaeifar Shideh1,Ferdowsi Sohrab2,Holotyak Taras1,Voloshynovskiy Slava1

Affiliation:

1. University of Geneva

2. HES-SO Geneva

Publisher

IEEE

Reference32 articles.

1. Deep Residual Learning for Image Recognition

2. Deep Learning Face Attributes in the Wild

3. Attribute Inference Attacks in Online Social Networks

4. Information competing process for learning diversified representations;hu;Advances in neural information processing systems,2019

5. Learnability for the Information Bottleneck

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation;Journal of Biomedical Informatics;2024-02

2. Reversing Deep Face Embeddings with Probable Privacy Protection;2023 IEEE International Workshop on Information Forensics and Security (WIFS);2023-12-04

3. Utility-Aware Privacy-Preserving Federated Learning through Information Bottleneck;2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2022-12

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