SoK: Differential Privacies

4 June 2019

Papers citing "SoK: Differential Privacies"

50 / 116 papers shown

Title
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 79 177 0 20 Aug 2018
Correspondences between Privacy and Nondiscrimination: Why They Should Be Studied Together Anupam Datta S. Sen Michael Carl Tschantz 57 5 0 06 Aug 2018
Subsampled Rényi Differential Privacy and Analytical Moments Accountant Yu Wang Borja Balle S. Kasiviswanathan 85 401 0 31 Jul 2018
Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation Takao Murakami Yusuke Kawamoto 50 91 0 30 Jul 2018
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors Joshua Allen Bolin Ding Janardhan Kulkarni Harsha Nori O. Ohrimenko Sergey Yekhanin SyDa FedML 103 32 0 02 Jul 2018
User's Privacy in Recommendation Systems Applying Online Social Network Data, A Survey and Taxonomy E. Aghasian Saurabh Garg James Montgomery OffRL 14 15 0 20 Jun 2018
Customized Local Differential Privacy for Multi-Agent Distributed Optimization Roel Dobbe Ye Pu Jingge Zhu Kannan Ramchandran Claire Tomlin 38 14 0 15 Jun 2018
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information John C. Duchi Feng Ruan 76 50 0 14 Jun 2018
Metric-based local differential privacy for statistical applications Mário S. Alvim K. Chatzikokolakis C. Palamidessi A. Pazii 35 19 0 03 May 2018
Context-aware Data Aggregation with Localized Information Privacy Bo Jiang Ming Li Ravi Tandon 34 22 0 06 Apr 2018
Certified Robustness to Adversarial Examples with Differential Privacy Mathias Lécuyer Vaggelis Atlidakis Roxana Geambasu Daniel J. Hsu Suman Jana SILM AAML 96 939 0 09 Feb 2018
Minimum spanning tree release under differential privacy constraints Rafael Pinot 31 10 0 19 Jan 2018
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 55 85 0 25 Dec 2017
Calibrating Noise to Variance in Adaptive Data Analysis Vitaly Feldman Thomas Steinke 74 50 0 19 Dec 2017
One-sided Differential Privacy Stelios Doudalis Ios Kotsogiannis Samuel Haney Ashwin Machanavajjhala S. Mehrotra 45 51 0 16 Dec 2017
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 58 689 0 05 Dec 2017
Together or Alone: The Price of Privacy in Collaborative Learning Balázs Pejó Qiang Tang G. Biczók FedML 60 16 0 01 Dec 2017
Differential Privacy as a Causal Property Michael Carl Tschantz S. Sen Anupam Datta 39 15 0 16 Oct 2017
( $k$ , $ε$ )-Anonymity: $k$ -Anonymity with $ε$ -Differential Privacy N. Holohan S. Antonatos S. Braghin Pól Mac Aonghusa MIACV 41 7 0 04 Oct 2017
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 147 279 0 02 Oct 2017
Rényi Differential Privacy Mechanisms for Posterior Sampling J. Geumlek Shuang Song Kamalika Chaudhuri 43 57 0 02 Oct 2017
Per-instance Differential Privacy Yu Wang 98 5 0 24 Jul 2017
Towards Practical Differential Privacy for SQL Queries Noah M. Johnson Joseph P. Near Basel Alomair 32 269 0 28 Jun 2017
Pain-Free Random Differential Privacy with Sensitivity Sampling Benjamin I. P. Rubinstein Francesco Aldà 23 42 0 08 Jun 2017
PrivMin: Differentially Private MinHash for Jaccard Similarity Computation Ziqi Yan Jiqiang Liu Gang Li Zhen Han Shuo Qiu 50 12 0 20 May 2017
Achieving Dalenius' Goal of Data Privacy with Practical Assumptions Genqiang Wu Xianyao Xia Yeping He FedML 99 4 0 22 Mar 2017
Renyi Differential Privacy Ilya Mironov 91 1,268 0 24 Feb 2017
Composing Differential Privacy and Secure Computation: A case study on scaling private record linkage Xi He Ashwin Machanavajjhala Cheryl J. Flynn D. Srivastava 54 105 0 02 Feb 2017
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees Jordi Soria-Comas J. Domingo-Ferrer David Sánchez David Megías 58 143 0 07 Dec 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 94 1,021 0 18 Oct 2016
Differential Privacy as a Mutual Information Constraint P. Cuff Lanqing Yu 43 204 0 12 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 2 0 01 Jul 2016
On-Average KL-Privacy and its equivalence to Generalization for Max-Entropy Mechanisms Yu Wang Jing Lei S. Fienberg 51 48 0 08 May 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 92 840 0 06 May 2016
Typical Stability Raef Bassily Y. Freund 113 16 0 12 Apr 2016
Inherit Differential Privacy in Distributed Setting: Multiparty Randomized Function Computation Genqiang Wu Yeping He Jingzheng Wu Xianyao Xia FedML 44 22 0 11 Apr 2016
Lower-Cost epsilon-Private Information Retrieval Raphael R. Toledo G. Danezis I. Goldberg 23 25 0 01 Apr 2016
Concentrated Differential Privacy Cynthia Dwork G. Rothblum 80 453 0 06 Mar 2016
Inferential Privacy Guarantees for Differentially Private Mechanisms Arpita Ghosh Robert D. Kleinberg 47 51 0 04 Mar 2016
Technical Privacy Metrics: a Systematic Survey Isabel Wagner D. Eckhoff 64 169 0 01 Dec 2015
Algorithms for Differentially Private Multi-Armed Bandits Aristide C. Y. Tossou Christos Dimitrakakis FedML 77 111 0 27 Nov 2015
Shortest Paths and Distances with Differential Privacy Adam Sealfon 39 58 0 14 Nov 2015
Algorithmic Stability for Adaptive Data Analysis Raef Bassily Kobbi Nissim Adam D. Smith Thomas Steinke Uri Stemmer Jonathan R. Ullman 104 268 0 08 Nov 2015
Toward Practical Differential Privacy in Smart Grid with Capacity-Limited Rechargeable Batteries Zijian Zhang Zhan Qin Liehuang Zhu Wei-Qiang Jiang Chen Xu and Kui Ren 31 12 0 10 Jul 2015
Fast Differentially Private Matrix Factorization Ziqi Liu Yu Wang Alex Smola FedML 99 124 0 06 May 2015
Heterogeneous Differential Privacy Mohammad Alaggan Sébastien Gambs Anne-Marie Kermarrec 39 90 0 27 Apr 2015
Privacy and Statistical Risk: Formalisms and Minimax Bounds Rina Foygel Barber John C. Duchi PILM 67 92 0 15 Dec 2014
Protecting Locations with Differential Privacy under Temporal Correlations Yonghui Xiao Li Xiong 79 379 0 22 Oct 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 109 2,001 0 25 Jul 2014
On the Relation Between Identifiability, Differential Privacy and Mutual-Information Privacy Weina Wang Lei Ying Junshan Zhang 41 5 0 16 Feb 2014