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The Privacy Blanket of the Shuffle Model

7 March 2019

Papers citing "The Privacy Blanket of the Shuffle Model"

40 / 90 papers shown

Title
Privacy Amplification Via Bernoulli Sampling Jacob Imola Kamalika Chaudhuri FedML 78 7 0 21 May 2021
On the Renyi Differential Privacy of the Shuffle Model Antonious M. Girgis Deepesh Data Suhas Diggavi A. Suresh Peter Kairouz 104 44 0 11 May 2021
Locally Private k-Means in One Round Alisa Chang Badih Ghazi Ravi Kumar Pasin Manurangsi 91 33 0 20 Apr 2021
Differentially Private Histograms in the Shuffle Model from Fake Users Albert Cheu M. Zhilyaev FedML 149 29 0 06 Apr 2021
Frequency Estimation Under Multiparty Differential Privacy: One-shot and Streaming Ziyue Huang Yuan Qiu K. Yi Graham Cormode 72 25 0 05 Apr 2021
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model Kobbi Nissim Chao Yan 138 1 0 29 Mar 2021
Lossless Compression of Efficient Private Local Randomizers Vitaly Feldman Kunal Talwar 72 40 0 24 Feb 2021
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation Peter Kairouz Ziyu Liu Thomas Steinke FedML 116 243 0 12 Feb 2021
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling Vitaly Feldman Audra McMillan Kunal Talwar FedML 104 163 0 23 Dec 2020
Privacy Amplification by Decentralization Edwige Cyffers A. Bellet FedML 130 41 0 09 Dec 2020
Toward Evaluating Re-identification Risks in the Local Privacy Model Takao Murakami Kenta Takahashi AAML 62 10 0 16 Oct 2020
Local Differential Privacy for Regret Minimization in Reinforcement Learning Evrard Garcelon Vianney Perchet Ciara Pike-Burke Matteo Pirotta 92 38 0 15 Oct 2020
On Distributed Differential Privacy and Counting Distinct Elements Lijie Chen Badih Ghazi Ravi Kumar Pasin Manurangsi FedML 103 32 0 21 Sep 2020
FLAME: Differentially Private Federated Learning in the Shuffle Model Ruixuan Liu Yang Cao Hong Chen Ruoyang Guo Masatoshi Yoshikawa FedML 94 97 0 17 Sep 2020
Shuffled Model of Federated Learning: Privacy, Communication and Accuracy Trade-offs Antonious M. Girgis Deepesh Data Suhas Diggavi Peter Kairouz A. Suresh FedML 114 25 0 17 Aug 2020
Breaking the Communication-Privacy-Accuracy Trilemma Wei-Ning Chen Peter Kairouz Ayfer Özgür 170 120 0 22 Jul 2020
Continuous Release of Data Streams under both Centralized and Local Differential Privacy Tianhao Wang Joann Qiongna Chen Zhikun Zhang D. Su Yueqiang Cheng Zhou Li Ninghui Li S. Jha 52 77 0 24 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 129 139 0 25 Apr 2020
Connecting Robust Shuffle Privacy and Pan-Privacy Victor Balcer Albert Cheu Matthew Joseph Jieming Mao FedML 120 43 0 20 Apr 2020
DP-Cryptography: Marrying Differential Privacy and Cryptography in Emerging Applications Sameer Wagh Xi He Ashwin Machanavajjhala Prateek Mittal 93 22 0 19 Apr 2020
LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale Ryan M. Rogers S. Subramaniam Sean Peng D. Durfee Seunghyun Lee Santosh Kumar Kancha Shraddha Sahay P. Ahammad 57 81 0 14 Feb 2020
Pure Differentially Private Summation from Anonymous Messages Badih Ghazi Noah Golowich Ravi Kumar Pasin Manurangsi Rasmus Pagh A. Velingker FedML 125 47 0 05 Feb 2020
Encode, Shuffle, Analyze Privacy Revisited: Formalizations and Empirical Evaluation Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Shuang Song Kunal Talwar Abhradeep Thakurta 82 84 0 10 Jan 2020
The power of synergy in differential privacy: Combining a small curator with local randomizers A. Beimel Aleksandra Korolova Kobbi Nissim Or Sheffet Uri Stemmer 68 15 0 18 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 294 6,336 0 10 Dec 2019
Estimating Numerical Distributions under Local Differential Privacy Zitao Li Tianhao Wang Milan Lopuhaä-Zwakenberg B. Škorić Ninghui Li 60 92 0 02 Dec 2019
Separating Local & Shuffled Differential Privacy via Histograms Victor Balcer Albert Cheu FedML 137 68 0 15 Nov 2019
Improved Differentially Private Decentralized Source Separation for fMRI Data H. Imtiaz Jafar Mohammadi Rogers F. Silva Bradley T. Baker Sergey Plis Anand D. Sarwate Vince D. Calhoun OOD 38 5 0 28 Oct 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 116 57 0 24 Sep 2019
Improving Utility and Security of the Shuffler-based Differential Privacy Tianhao Wang Bolin Ding Min Xu Zhicong Huang Cheng Hong Jingren Zhou Ninghui Li S. Jha 147 11 0 30 Aug 2019
On the Power of Multiple Anonymous Messages Badih Ghazi Noah Golowich Ravi Kumar Rasmus Pagh A. Velingker FedML 88 6 0 29 Aug 2019
Differentially Private Summation with Multi-Message Shuffling Borja Balle James Bell Adria Gascon Kobbi Nissim FedML 110 47 0 20 Jun 2019
Scalable and Differentially Private Distributed Aggregation in the Shuffled Model Badih Ghazi Rasmus Pagh A. Velingker FedML 105 98 0 19 Jun 2019
Privacy Amplification by Mixing and Diffusion Mechanisms Borja Balle Gilles Barthe Marco Gaboardi J. Geumlek 76 43 0 29 May 2019
Differential privacy with partial knowledge Damien Desfontaines Esfandiar Mohammadi Elisabeth Krahmer David Basin 113 10 0 02 May 2019
The Role of Interactivity in Local Differential Privacy Matthew Joseph Jieming Mao Seth Neel Aaron Roth 100 65 0 07 Apr 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 132 110 0 22 Feb 2019
The Power of The Hybrid Model for Mean Estimation Brendan Avent Yatharth Dubey Aleksandra Korolova 98 17 0 29 Nov 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 125 32 0 02 Jul 2018
The Right Complexity Measure in Locally Private Estimation: It is not the Fisher Information John C. Duchi Feng Ruan 92 51 0 14 Jun 2018