Private Information Retrieval and Its Applications: An Introduction, Open Problems, Future Directions
Authors: Sajani Vithana, Zhusheng Wang, Sennur Ulukus | Published: 2023-04-27
Information-Theoretic Privacy
Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees
Authors: Michael Shoemate, Kevin Jett, Ethan Cowan, Sean Colbath, James Honaker, Prasanna Muthukumar | Published: 2022-07-16
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility
Authors: Behrooz Razeghi, Flavio P. Calmon, Deniz Gunduz, Slava Voloshynovskiy | Published: 2022-07-11
Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs
Authors: Chang Sun, Johan van Soest, Michel Dumontier | Published: 2022-06-28
TextHide: Tackling Data Privacy in Language Understanding Tasks
Authors: Yangsibo Huang, Zhao Song, Danqi Chen, Kai Li, Sanjeev Arora | Published: 2020-10-12
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications
Authors: David Byrd, Antigoni Polychroniadou | Published: 2020-10-12
Information Obfuscation of Graph Neural Networks
Authors: Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov | Published: 2020-09-28 | Updated: 2021-06-13
Federated Transfer Learning: concept and applications
Authors: Sudipan Saha, Tahir Ahmad | Published: 2020-09-26 | Updated: 2021-03-06
A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
Authors: Jie Xu, Wei Zhang, Fei Wang | Published: 2020-08-21
Private Knowledge Transfer via Model Distillation with Generative Adversarial Networks
Authors: Di Gao, Cheng Zhuo | Published: 2020-04-05