Privacy Preserving Analytics on Distributed Medical Data
Authors: Marina Blanton, Ah Reum Kang, Subhadeep Karan, Jaroslaw Zola | Published: 2018-06-18
プライバシー保護手法
Data Synthesis based on Generative Adversarial Networks
Authors: Noseong Park, Mahmoud Mohammadi, Kshitij Gorde, Sushil Jajodia, Hongkyu Park, Youngmin Kim | Published: 2018-06-09 | Updated: 2018-07-02
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Authors: Florian Tramèr, Dan Boneh | Published: 2018-06-08 | Updated: 2019-02-27
Blind Justice: Fairness with Encrypted Sensitive Attributes
Authors: Niki Kilbertus, Adrià Gascón, Matt J. Kusner, Michael Veale, Krishna P. Gummadi, Adrian Weller | Published: 2018-06-08
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms
Authors: Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu | Published: 2018-06-06
Differentially Private Confidence Intervals for Empirical Risk Minimization
Authors: Yue Wang, Daniel Kifer, Jaewoo Lee | Published: 2018-04-11
Privacy-Preserving Deep Inference for Rich User Data on The Cloud
Authors: Seyed Ali Osia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi | Published: 2017-10-04 | Updated: 2017-10-11
Privacy Preserving Identification Using Sparse Approximation with Ambiguization
Authors: Behrooz Razeghi, Slava Voloshynovskiy, Dimche Kostadinov, Olga Taran | Published: 2017-09-29
RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release
Authors: Thee Chanyaswad, Changchang Liu, Prateek Mittal | Published: 2017-08-31 | Updated: 2018-10-16
Coppersmith’s lattices and “focus groups”: an attack on small-exponent RSA
Authors: Stephen D. Miller, Bhargav Narayanan, Ramarathnam Venkatesan | Published: 2017-08-30 | Updated: 2020-12-16