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Privacy Preserving

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Showing 2751–2775 of 2975 papers

TitleStatusHype
Extreme Low Resolution Activity Recognition with Confident Spatial-Temporal Attention Transfer—0
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones—0
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images—0
Key Protected Classification for Collaborative LearningCode0
No Peeking through My Windows: Conserving Privacy in Personal Drones—0
Successive Point-of-Interest Recommendation with Local Differential Privacy—0
Privacy-Preserving Tensor Factorization for Collaborative Health Data Analysis—0
Federated Learning: Challenges, Methods, and Future DirectionsCode0
A Novel Privacy-Preserving Deep Learning Scheme without Using Cryptography Component—0
AdaCliP: Adaptive Clipping for Private SGDCode0
PrivFT: Private and Fast Text Classification with Homomorphic Encryption—0
Distilling On-Device Intelligence at the Network Edge—0
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability—0
Local Differential Privacy for Deep LearningCode0
Adversarial Test on Learnable Image Encryption—0
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges—0
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation—0
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and ProtectionCode0
Proof-of-Useful-Work as Dual-Purpose Mechanism for Blockchain and AI: Blockchain Consensus that Enables Privacy Preserving Data Mining—0
ER-AE: Differentially Private Text Generation for Authorship AnonymizationCode0
Federated Reinforcement Distillation with Proxy Experience Memory—0
Privacy-Preserving Classification with Secret Vector MachinesCode0
Protecting Privacy of Users in Brain-Computer Interface Applications—0
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMCode0
Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine LearningCode0
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