Jean‐Pierre Hubaux

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All published works

Action	Title	Year	Authors
+ PDF Chat	Privacy-Preserving Federated Recurrent Neural Networks	2023	Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean‐Pierre Hubaux
+	Scalable and Privacy-Preserving Federated Principal Component Analysis	2023	David Froelicher Hyunghoon Cho Manaswitha Edupalli João Sá Sousa Jean-Philippe Bossuat Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Bonnie Berger Jean‐Pierre Hubaux
+	Scalable and Privacy-Preserving Federated Principal Component Analysis	2023	David Froelicher Hyunghoon Cho Manaswitha Edupalli João M. C. Sousa Jean-Philippe Bossuat Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Bonnie Berger Jean‐Pierre Hubaux
+	slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference	2023	Francesco Intoci Sinem Sav Apostolos Pyrgelis Jean-Philippe Bossuat Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux
+ PDF Chat	Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies	2022	Anisa Halimi Leonard Dervishi Erman Ayday Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux Xiaoqian Jiang Jaideep Vaidya
+	Verifiable Encodings for Secure Homomorphic Analytics	2022	Sylvain Chatel Christian Knabenhans Apostolos Pyrgelis Jean‐Pierre Hubaux
+	Privacy-Preserving Federated Recurrent Neural Networks	2022	Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean‐Pierre Hubaux
+	Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing	2022	Juan R. Trocoso-Pastoriza Alain Mermoud Romain Bouyé Francesco Marino Jean-Philippe Bossuat Vincent Lenders Jean‐Pierre Hubaux
+ PDF Chat	Every Byte Matters	2021	Ludovic Barman Alexandre Dumur Apostolos Pyrgelis Jean‐Pierre Hubaux
+ PDF Chat	Every Byte Matters	2021	Ludovic Barman Alexandre Dumur Apostolos Pyrgelis Jean‐Pierre Hubaux
+ PDF Chat	SoK: Privacy-Preserving Collaborative Tree-based Model Learning	2021	Sylvain Chatel Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux
+	SoK: Privacy-Preserving Collaborative Tree-based Model Learning.	2021	Sylvain Chatel Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux
+ PDF Chat	Revolutionizing Medical Data Sharing Using Advanced Privacy-Enhancing Technologies: Technical, Legal, and Ethical Synthesis	2021	James Scheibner Jean Louis Raisaro Juan Ramón Troncoso-Pastoriza Marcello Ienca Jacques Fellay Effy Vayena Jean‐Pierre Hubaux
+ PDF Chat	Scalable Privacy-Preserving Distributed Learning	2021	David Froelicher Juan Ramón Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean‐Pierre Hubaux
+	POSEIDON: Privacy-Preserving Federated Neural Network Learning	2021	Sinem Sav Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza David Froelicher Jean-Philippe Bossuat João Sá Sousa Jean‐Pierre Hubaux
+	SoK: Privacy-Preserving Collaborative Tree-based Model Learning	2021	Sylvain Chatel Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux
+	Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies	2021	Anisa Halimi Leonard Dervishi Erman Ayday Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux Xiaoqian Jiang Jaideep Vaidya
+	POSEIDON: Privacy-Preserving Federated Neural Network Learning	2020	Sinem Sav Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza David Froelicher Jean-Philippe Bossuat João Sá Sousa Jean‐Pierre Hubaux
+ PDF Chat	PriFi: Low-Latency Anonymity for Organizational Networks	2020	Ludovic Barman Italo Dacosta Mahdi Zamani Ennan Zhai Apostolos Pyrgelis Bryan Ford Joan Feigenbaum Jean‐Pierre Hubaux
+	Privacy and Integrity Preserving Computations with CRISP	2020	Sylvain Chatel Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux
+	Decentralized Privacy-Preserving Proximity Tracing	2020	Carmela Troncoso Mathias Payer Jean‐Pierre Hubaux Marcel Salathé James R. Larus Edouard Bugnion Wouter Lueks Theresa Stadler Apostolos Pyrgelis Daniele Antonioli
+	Scalable Privacy-Preserving Distributed Learning	2020	David Froelicher Juan Ramón Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean‐Pierre Hubaux
+ PDF Chat	Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets	2020	David Froelicher Juan Ramón Troncoso-Pastoriza João Sá Sousa Jean‐Pierre Hubaux
+	Revolutionizing Medical Data Sharing Using Advanced Privacy Enhancing Technologies: Technical, Legal and Ethical Synthesis	2020	James Scheibner Jean Louis Raisaro Juan Ramón Troncoso-Pastoriza Marcello Ienca Jacques Fellay Effy Vayena Jean‐Pierre Hubaux
+	POSEIDON: Privacy-Preserving Federated Neural Network Learning	2020	Sinem Sav Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza David Froelicher Jean-Philippe Bossuat João M. C. Sousa Jean‐Pierre Hubaux
+	Privacy and Integrity Preserving Computations with CRISP	2020	Sylvain Chatel Apostolos Pyrgelis Juan Ramón Troncoso-Pastoriza Jean‐Pierre Hubaux
+	Decentralized Privacy-Preserving Proximity Tracing	2020	Carmela Troncoso Mathias Payer Jean‐Pierre Hubaux Marcel Salathé James R. Larus Edouard Bugnion Wouter Lueks Theresa Stadler Apostolos Pyrgelis Daniele Antonioli
+	Scalable Privacy-Preserving Distributed Learning	2020	David Froelicher Juan Ramón Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João M. C. Sousa Jean-Philippe Bossuat Jean‐Pierre Hubaux
+ PDF Chat	Reducing Metadata Leakage from Encrypted Files and Communication with PURBs	2019	Kirill Nikitin Ludovic Barman Wouter Lueks Matthew Underwood Jean‐Pierre Hubaux Bryan Ford
+	Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets	2019	David Froelicher Juan Ramón Troncoso-Pastoriza João Sá Sousa Jean‐Pierre Hubaux
+	Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets	2019	David Froelicher Juan Ramón Troncoso-Pastoriza João M. C. Sousa Jean‐Pierre Hubaux
+	Reducing Metadata Leakage from Encrypted Files and Communication with PURBs	2018	Kirill Nikitin Ludovic Barman Wouter Lueks Matthew Underwood Jean‐Pierre Hubaux Bryan Ford
+	Reducing Metadata Leakage from Encrypted Files and Communication with PURBs	2018	Kirill Nikitin Ludovic Barman Wouter Lueks Matthew C. Underwood Jean‐Pierre Hubaux Bryan Ford
+	PriFi: A Low-Latency Local-Area Anonymous Communication Network.	2017	Ludovic Barman Italo Dacosta Mahdi Zamani Ennan Zhai Bryan Ford Jean‐Pierre Hubaux Joan Feigenbaum
+	PriFi: Low-Latency Anonymity for Organizational Networks	2017	Ludovic Barman Italo Dacosta Mahdi Zamani Ennan Zhai Apostolos Pyrgelis Bryan Ford Jean‐Pierre Hubaux Joan Feigenbaum
+	PriFi: Low-Latency Metadata Protection for Organizational Network	2017	Ludovic Barman Italo Dacosta Mahdi Zamani Ennan Zhai Bryan Ford Jean‐Pierre Hubaux Joan Feigenbaum
+ PDF Chat	FairTest: Discovering Unwarranted Associations in Data-Driven Applications	2017	Florian Tramèr Vaggelis Atlidakis Roxana Geambasu Daniel Hsu Jean‐Pierre Hubaux Mathias Humbert Ari Juels Huang Lin
+	PriFi: Low-Latency Anonymity for Organizational Networks	2017	Ludovic Barman Italo Dacosta Mahdi Zamani Ennan Zhai Apostolos Pyrgelis Bryan Ford Jean‐Pierre Hubaux Joan Feigenbaum
+ PDF Chat	Privacy and Security in the Genomic Era	2016	Erman Ayday Jean‐Pierre Hubaux
+	Discovering Unwarranted Associations in Data-Driven Applications with the FairTest Testing Toolkit	2015	Florian Tramèr Vaggelis Atlidakis Roxana Geambasu Daniel Hsu Jean‐Pierre Hubaux Mathias Humbert Ari Juels Huang Lin
+	FairTest: Discovering Unwarranted Associations in Data-Driven Applications	2015	Florian Tramèr Vaggelis Atlidakis Roxana Geambasu Daniel Hsu Jean‐Pierre Hubaux Mathias Humbert Ari Juels Huang Lin
+	Privacy in the Genomic Era	2014	Muhammad Naveed Erman Ayday Ellen Wright Clayton Jacques Fellay Carl A. Gunter Jean‐Pierre Hubaux Bradley Malin Xiaofeng Wang
+	Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services	2014	George Theodorakopoulos Reza Shokri Carmela Troncoso Jean‐Pierre Hubaux Jean‐Yves Le Boudec
+	Privacy in the Genomic Era	2014	Muhammad Naveed Erman Ayday Ellen Wright Clayton Jacques Fellay Carl A. Gunter Jean‐Pierre Hubaux Bradley Malin Xiaofeng Wang
+	The Chills and Thrills of Whole Genome Sequencing	2013	Erman Ayday Emiliano De Cristofaro Jean‐Pierre Hubaux Gene Tsudik
+ PDF Chat	The Chills and Thrills of Whole Genome Sequencing	2013	Erman Ayday Emiliano De Cristofaro Jean‐Pierre Hubaux Gene Tsudik
+	The Chills and Thrills of Whole Genome Sequencing	2013	Erman Ayday Emiliano De Cristofaro Jean‐Pierre Hubaux Gene Tsudik
+	VANET Connectivity Analysis	2009	Mohamed Kafsi Panos Papadimitratos Olivier Dousse Tansu Alpcan Jean‐Pierre Hubaux
+ PDF Chat	Secure vehicular communication systems: implementation, performance, and research challenges	2008	Frank Kargl Panos Papadimitratos Levente Buttyán Michael Müter Elmar Schoch Björn Wiedersheim Ta-Vinh Thong Giorgio Calandriello Albert Held Antonio Kung
+ PDF Chat	Secure vehicular communication systems: design and architecture	2008	Panos Papadimitratos Levente Buttyán Tamás Holczer Elmar Schoch Julien Freudiger Maxim Raya Zhendong Ma Frank Kargl Antonio Kung Jean‐Pierre Hubaux
+ PDF Chat	Towards provable secure neighbor discovery in wireless networks	2008	Marcin Poturalski Panos Papadimitratos Jean‐Pierre Hubaux
+ PDF Chat	Wireless sensor networking for rain-fed farming decision support	2008	Jacques Panchard Seshagiri Rao M. S. Sheshshayee Panos Papadimitratos S Shabarish Kumar Jean‐Pierre Hubaux
+ PDF Chat	GossiCrypt: Wireless Sensor Network Data Confidentiality Against Parasitic Adversaries	2008	Jun Luo Panos Papadimitratos Jean‐Pierre Hubaux
+ PDF Chat	Report on the "secure vehicular communications: results and challenges ahead" workshop	2008	Panos Papadimitratos Jean‐Pierre Hubaux
+ PDF Chat	Impact of vehicular communications security on transportation safety	2008	Panos Papadimitratos Giorgio Calandriello Jean‐Pierre Hubaux Antonio Lioy
+	Report on the "Secure Vehicular Communications: Results and Challenges Ahead" Workshop	2008	Panos Papadimitratos Jean‐Pierre Hubaux
+	Towards Provable Secure Neighbor Discovery in Wireless Networks	2008	Marcin Poturalski Panos Papadimitratos Jean‐Pierre Hubaux
+	Secure Neighbor Discovery in Wireless Networks: Formal Investigation of Possibility	2008	Marcin Poturalski Panos Papadimitratos Jean‐Pierre Hubaux
+ PDF Chat	Efficient and Robust Secure Aggregation for Sensor Networks	2007	Parisa Haghani Panos Papadimitratos Marcin Poturalski Karl Aberer Jean‐Pierre Hubaux
+ PDF Chat	How to Specify and How to Prove Correctness of Secure Routing Protocols for MANET	2006	Panos Papadimitratos Zygmunt J. Haas Jean‐Pierre Hubaux

Common Coauthors

Coauthor	Papers Together
Apostolos Pyrgelis	26
Juan Ramón Troncoso-Pastoriza	21
Panos Papadimitratos	13
Jean-Philippe Bossuat	12
Ludovic Barman	12
David Froelicher	11
Sinem Sav	9
Erman Ayday	8
Sylvain Chatel	8
Bryan Ford	8
João Sá Sousa	7
Wouter Lueks	5
Italo Dacosta	5
Joan Feigenbaum	5
Mahdi Zamani	5
Ennan Zhai	5
Jacques Fellay	4
Marcin Poturalski	4
João M. C. Sousa	4
Ari Juels	3
Daniel Hsu	3
Huang Lin	3
Carmela Troncoso	3
Gene Tsudik	3
Roxana Geambasu	3
Vaggelis Atlidakis	3
Florian Tramèr	3
Emiliano De Cristofaro	3
Mathias Humbert	3
Jaideep Vaidya	2
Carl A. Gunter	2
Abdulrahman Diaa	2
Alain Barrat	2
Elmar Schoch	2
Dario Fiore	2
Kirill Nikitin	2
Anisa Halimi	2
Theresa Stadler	2
Nigel P. Smart	2
Levente Buttyán	2
Mathias Payer	2
José Pereira	2
Manaswitha Edupalli	2
Michael Veale	2
Matthew Underwood	2
Leonard Dervishi	2
Edouard Bugnion	2
Alexandre Dumur	2
Daniele Antonioli	2
Bonnie Berger	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Helen: Maliciously Secure Coopetitive Learning for Linear Models	2019	Wenting Zheng Raluca Ada Popa Joseph E. Gonzalez Ion Stoica	9
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	9
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	9
+ PDF Chat	Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning	2019	Milad Nasr Reza Shokri Amir Houmansadr	8
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	7
+	On Ideal Lattices and Learning with Errors over Rings	2010	Vadim Lyubashevsky Chris Peikert Oded Regev	6
+ PDF Chat	A Hybrid Approach to Privacy-Preserving Federated Learning	2019	Stacey Truex Nathalie Baracaldo Ali Anwar Thomas Steinke Heiko Ludwig Rui Zhang Yi Zhou	6
+ PDF Chat	Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets	2020	David Froelicher Juan Ramón Troncoso-Pastoriza João Sá Sousa Jean‐Pierre Hubaux	5
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	5
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh	5
+ PDF Chat	Quantum supremacy using a programmable superconducting processor	2019	Frank Arute Kunal Arya Ryan Babbush Dave Bacon Joseph C. Bardin R. Barends Rupak Biswas Sergio Boixo Fernando G. S. L. Brandão David A. Buell	5
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	5
+ PDF Chat	Privacy-Preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso	5
+ PDF Chat	Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning	2019	Zhibo Wang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi	5
+ PDF Chat	Riposte: An Anonymous Messaging System Handling Millions of Users	2015	Henry Corrigan-Gibbs Dan Boneh David Mazières	4
+ PDF Chat	Scalable Privacy-Preserving Distributed Learning	2021	David Froelicher Juan Ramón Troncoso-Pastoriza Apostolos Pyrgelis Sinem Sav João Sá Sousa Jean-Philippe Bossuat Jean‐Pierre Hubaux	4
+	DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy	2019	Zonghao Huang Rui Hu Yuanxiong Guo Eric Chan‐Tin Yanmin Gong	4
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	4
+ PDF Chat	TARANET: Traffic-Analysis Resistant Anonymity at the Network Layer	2018	Chen Chen Daniele E. Asoni Adrian Perrig David Barrera George Danezis Carmela Troncoso	4
+ PDF Chat	Do We Need More Training Data?	2015	Xiangxin Zhu Carl Vondrick Charless C. Fowlkes Deva Ramanan	4
+	A blueprint for demonstrating quantum supremacy with superconducting qubits	2018	C. Neill P. Roushan Kostyantyn Kechedzhi Sergio Boixo Sergei V. Isakov Vadim Smelyanskiy A. Megrant B. Chiaro A. Dunsworth Kunal Arya	3
+	A Simple Sequentially Rejective Multiple Test Procedure	1979	Sture Holm	3
+ PDF Chat	Falcon: Honest-Majority Maliciously Secure Framework for Private Deep Learning	2020	Sameer Wagh Shruti Tople Fabrice Benhamouda Eyal Kushilevitz Prateek Mittal Tal Rabin	3
+	The reusable holdout: Preserving validity in adaptive data analysis	2015	Cynthia Dwork Vitaly Feldman Moritz Hardt Toniann Pitassi Omer Reingold Aaron Roth	3
+	Gazelle: A Low Latency Framework for Secure Neural Network Inference	2018	Chiraag Juvekar Vinod Vaikuntanathan Anantha P. Chandrakasan	3
+ PDF Chat	PriFi: Low-Latency Anonymity for Organizational Networks	2020	Ludovic Barman Italo Dacosta Mahdi Zamani Ennan Zhai Apostolos Pyrgelis Bryan Ford Joan Feigenbaum Jean‐Pierre Hubaux	3
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	3
+ PDF Chat	Certifying and Removing Disparate Impact	2015	Michael Feldman Sorelle A. Friedler John Moeller Carlos Scheidegger Suresh Venkatasubramanian	3
+ PDF Chat	Fairness through awareness	2012	Cynthia Dwork Moritz Hardt Toniann Pitassi Omer Reingold Richard S. Zemel	3
+ PDF Chat	Bootstrap Methods: Another Look at the Jackknife	1979	B. Efron	3
+	Efficient Private Statistics with Succinct Sketches	2016	Luca Melis George Danezis Emiliano De Cristofaro	3
+ PDF Chat	Measuring personalization of web search	2013	Anikó Hannák Piotr Sapieżyński Arash Molavi Kakhki Balachander Krishnamurthy David Lazer Alan Mislove Christo Wilson	3
+	A Berkeley View of Systems Challenges for AI	2017	Ion Stoica Dawn Song Raluca Ada Popa David A. Patterson Michael W. Mahoney Randy H. Katz Anthony D. Joseph Michael I. Jordan Joseph M. Hellerstein Joseph E. Gonzalez	3
+ PDF Chat	How to Specify and How to Prove Correctness of Secure Routing Protocols for MANET	2006	Panos Papadimitratos Zygmunt J. Haas Jean‐Pierre Hubaux	3
+	XONN: XNOR-based Oblivious Deep Neural Network Inference	2019	M. Sadegh Riazi Mohammad Samragh Hao Chen Kim Laine Kristin Lauter Farinaz Koushanfar	3
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	3
+	Proactively Accountable Anonymous Messaging in Verdict	2012	Henry Corrigan-Gibbs David Isaac Wolinsky Bryan Ford	3
+ PDF Chat	Impact of vehicular communications security on transportation safety	2008	Panos Papadimitratos Giorgio Calandriello Jean‐Pierre Hubaux Antonio Lioy	3
+	BLAZE: Blazing Fast Privacy-Preserving Machine Learning	2020	Arpita Patra Ajith Suresh	3
+	Identifying Participants in the Personal Genome Project by Name (A Re-identification Experiment)	2013	Latanya Sweeney Akua Abu Julia Winn	2
+ PDF Chat	Privacy-Preserving Multiparty Learning for Logistic Regression	2018	Wei Du Ang Li Qinghua Li	2
+ PDF Chat	Device Fingerprinting in Wireless Networks: Challenges and Opportunities	2015	Qiang Xu Rong Zheng Walid Saad Zhu Han	2
+	A Dictionary of Statistics	2002	Graham Upton Ian Cook	2
+	HotStuff: BFT Consensus in the Lens of Blockchain	2018	Maofan Yin Dahlia Malkhi Michael K. Reiter Guy Golan Gueta Ittai Abraham	2
+ PDF Chat	Discrimination in online ad delivery	2013	Latanya Sweeney	2
+ PDF Chat	Universally Utility-maximizing Privacy Mechanisms	2012	Arpita Ghosh Tim Roughgarden Mukund Sundararajan	2
+ PDF Chat	Dovetail: Stronger Anonymity in Next-Generation Internet Routing	2014	Jody Sankey Matthew Wright	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+ PDF Chat	The Chills and Thrills of Whole Genome Sequencing	2013	Erman Ayday Emiliano De Cristofaro Jean‐Pierre Hubaux Gene Tsudik	2
+	Differentially Private Federated Learning: A Client Level Perspective	2017	R. Geyer Tassilo J. Klein Moin Nabi	2