Detecting Violations of Differential Privacy

25 May 2018

Papers citing "Detecting Violations of Differential Privacy"

30 / 30 papers shown

Title
General-Purpose $f$ -DP Estimation and Auditing in a Black-Box Setting Önder Askin Holger Dette Martin Dunsche T. Kutta Yun Lu Yu Wei Vassilis Zikas 52 0 0 10 Feb 2025
Adversarial Sample-Based Approach for Tighter Privacy Auditing in Final Model-Only Scenarios Sangyeon Yoon Wonje Jeung Albert No 87 0 0 02 Dec 2024
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD Thomas Steinke Milad Nasr Arun Ganesh Borja Balle Christopher A. Choquette-Choo Matthew Jagielski Jamie Hayes Abhradeep Thakurta Adam Smith Andreas Terzis 34 7 0 08 Oct 2024
QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems Bozhidar Stevanoski Ana-Maria Cretu Yves-Alexandre de Montjoye AAML 20 1 0 03 Sep 2024
The Complexity of Verifying Boolean Programs as Differentially Private Mark Bun Marco Gaboardi Ludmila Glinskih 26 4 0 08 Sep 2023
Revealing the True Cost of Locally Differentially Private Protocols: An Auditing Perspective Héber H. Arcolezi Sébastien Gambs 40 1 0 04 Sep 2023
Epsilon*: Privacy Metric for Machine Learning Models Diana M. Negoescu H. González Saad Eddin Al Orjany Jilei Yang Yuliia Lut ... Xinyi Zheng Zachariah Douglas Vidita Nolkha P. Ahammad G. Samorodnitsky 37 2 0 21 Jul 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 39 3 0 18 Feb 2023
Tight Auditing of Differentially Private Machine Learning Milad Nasr Jamie Hayes Thomas Steinke Borja Balle Florian Tramèr Matthew Jagielski Nicholas Carlini Andreas Terzis FedML 35 52 0 15 Feb 2023
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting T. Kutta Önder Askin Martin Dunsche 25 4 0 09 Dec 2022
A General Framework for Auditing Differentially Private Machine Learning Fred Lu Joseph Munoz Maya Fuchs Tyler LeBlond Elliott Zaresky-Williams Edward Raff Francis Ferraro Brian Testa FedML 22 35 0 16 Oct 2022
Bayesian Estimation of Differential Privacy Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople A. Salem Victor Rühle Andrew J. Paverd Mohammad Naseri Boris Köpf Daniel Jones 25 36 0 10 Jun 2022
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence Carles Domingo-Enrich Youssef Mroueh 27 5 0 27 May 2022
Synthetic Data -- what, why and how? James Jordon Lukasz Szpruch F. Houssiau M. Bottarelli Giovanni Cherubin Carsten Maple Samuel N. Cohen Adrian Weller 46 109 0 06 May 2022
DPGen: Automated Program Synthesis for Differential Privacy Yuxin Wang Zeyu Ding Yingtai Xiao Daniel Kifer Danfeng Zhang SyDa 43 12 0 15 Sep 2021
Statistical Quantification of Differential Privacy: A Local Approach Önder Askin T. Kutta Holger Dette 42 13 0 21 Aug 2021
On a Utilitarian Approach to Privacy Preserving Text Generation Zekun Xu Abhinav Aggarwal Oluwaseyi Feyisetan Nathanael Teissier 37 24 0 23 Apr 2021
DDUO: General-Purpose Dynamic Analysis for Differential Privacy Chiké Abuah Alex Silence David Darais Joseph P. Near 46 12 0 16 Mar 2021
VPT: Privacy Preserving Energy Trading and Block Mining Mechanism for Blockchain based Virtual Power Plants M. Hassan M. H. Rehmani Jinjun Chen 28 7 0 02 Feb 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 82 216 0 11 Jan 2021
Learning Differentially Private Mechanisms Subhajit Roy Justin Hsu Aws Albarghouthi FedML SyDa 38 17 0 04 Jan 2021
Deciding Accuracy of Differential Privacy Schemes Gilles Barthe Rohit Chadha Paul Krogmeier A. Sistla Mahesh Viswanathan 35 10 0 12 Nov 2020
$Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of $3 \choose 2$$ Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of $3 \choose 2$ Rafael G. L. DÓliveira Salman Salamatian Muriel Médard Parastoo Sadeghi 20 0 0 21 Aug 2020
Stochastic Adaptive Line Search for Differentially Private Optimization Chen Chen Jaewoo Lee 22 14 0 18 Aug 2020
Guidelines for Implementing and Auditing Differentially Private Systems Daniel Kifer Solomon Messing Aaron Roth Abhradeep Thakurta Danfeng Zhang 16 34 0 10 Feb 2020
Differentially Private SQL with Bounded User Contribution Royce J. Wilson Celia Yuxin Zhang William K. C. Lam Damien Desfontaines Daniel Simmons-Marengo Bryant Gipson 27 147 0 04 Sep 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 739 0 19 Jun 2019
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy Mehmet Emre Gursoy Acar Tamersoy Stacey Truex Wenqi Wei Ling Liu 19 75 0 15 May 2019
Property Testing for Differential Privacy A. Gilbert Audra McMillan 13 27 0 17 Jun 2018
LightDP: Towards Automating Differential Privacy Proofs Danfeng Zhang Daniel Kifer 43 72 0 27 Jul 2016