You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas
Authors: Haoran Li, Yangqiu Song, Lixin Fan | Published: 2022-04-26
Privacy Leakage
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
Authors: Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Jafar, Ravi Tandon, Chao Tian | Published: 2021-07-30
Who’s Afraid of Thomas Bayes?
Authors: Erick Galinkin | Published: 2021-07-30
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation
Authors: Tanveer Khan, Alexandros Bakas, Antonis Michalas | Published: 2021-07-29
Fully Homomorphically Encrypted Deep Learning as a Service
Authors: George Onoufriou, Paul Mayfield, Georgios Leontidis | Published: 2021-07-26
Reducing Risk of Model Inversion Using Privacy-Guided Training
Authors: Abigail Goldsteen, Gilad Ezov, Ariel Farkash | Published: 2020-06-29
Understanding Gradient Clipping in Private SGD: A Geometric Perspective
Authors: Xiangyi Chen, Zhiwei Steven Wu, Mingyi Hong | Published: 2020-06-27 | Updated: 2021-03-18
Prive-HD: Privacy-Preserved Hyperdimensional Computing
Authors: Behnam Khaleghi, Mohsen Imani, Tajana Rosing | Published: 2020-05-14
Privacy Leakage Avoidance with Switching Ensembles
Authors: Rauf Izmailov, Peter Lin, Chris Mesterharm, Samyadeep Basu | Published: 2019-11-18
Machine Learning with Membership Privacy using Adversarial Regularization
Authors: Milad Nasr, Reza Shokri, Amir Houmansadr | Published: 2018-07-16