An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors

2 July 2018

Papers citing "An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors"

6 / 6 papers shown

Title
Adore: Differentially Oblivious Relational Database Operators Lianke Qin Rajesh Jayaram E. Shi Zhao-quan Song Danyang Zhuo Shumo Chu 30 14 0 10 Dec 2022
Differentially private cross-silo federated learning Mikko A. Heikkilä A. Koskela Kana Shimizu Samuel Kaski Antti Honkela FedML 21 24 0 10 Jul 2020
Towards Probabilistic Verification of Machine Unlearning David M. Sommer Liwei Song Sameer Wagh Prateek Mittal AAML 11 71 0 09 Mar 2020
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 28 121 0 04 Jun 2019
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 141 420 0 29 Nov 2018
Privacy-Preserving Access of Outsourced Data via Oblivious RAM Simulation M. Goodrich Michael Mitzenmacher 55 269 0 07 Jul 2010