João Sá Sousa

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All published works

Action	Title	Year	Authors
+	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
+ 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
+	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
+	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
+	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

Common Coauthors

Coauthor	Papers Together
David Froelicher	7
Juan Ramón Troncoso-Pastoriza	7
Jean‐Pierre Hubaux	7
Jean-Philippe Bossuat	5
Apostolos Pyrgelis	5
Sinem Sav	4
Manaswitha Edupalli	1
Hyunghoon Cho	1
Bonnie Berger	1

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	7
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	6
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	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
+	On Ideal Lattices and Learning with Errors over Rings	2010	Vadim Lyubashevsky Chris Peikert Oded Regev	5
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	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	4
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh	4
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	4
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	4
+ 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	4
+ 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	4
+	Learning Differentially Private Recurrent Language Models	2017	H. Brendan McMahan Daniel Ramage Kunal Talwar Li Zhang	4
+ PDF Chat	Do We Need More Training Data?	2015	Xiangxin Zhu Carl Vondrick Charless C. Fowlkes Deva Ramanan	4
+	DP-ADMM: ADMM-Based Distributed Learning With Differential Privacy	2019	Zonghao Huang Rui Hu Yuanxiong Guo Eric Chan‐Tin Yanmin Gong	4
+ 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	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
+ 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	3
+ 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	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	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Universally Utility-maximizing Privacy Mechanisms	2012	Arpita Ghosh Tim Roughgarden Mukund Sundararajan	2
+	Centrally Banked Cryptocurrencies	2016	George Danezis Sarah Meiklejohn	2
+	Parallelized Stochastic Gradient Descent	2010	Martin Zinkevich Markus Weimer Lihong Li Alex Smola	2
+ PDF Chat	Smooth minimization of non-smooth functions	2004	Yu. Nesterov	2
+ PDF Chat	Plausible deniability for privacy-preserving data synthesis	2017	Vincent Bindschaedler Reza Shokri Carl A. Gunter	2
+	Differentially Private Federated Learning: A Client Level Perspective	2017	R. Geyer Tassilo J. Klein Moin Nabi	2
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	2
+	Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms	2018	Jianyu Wang Gauri Joshi	2
+	Gradient Descent Provably Optimizes Over-parameterized Neural Networks	2018	Simon S. Du Xiyu Zhai Barnabás Póczos Aarti Singh	2
+ PDF Chat	Privacy-Preserving Multiparty Learning for Logistic Regression	2018	Wei Du Ang Li Qinghua Li	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	Realizing private and practical pharmacological collaboration	2018	Brian Hie Hyunghoon Cho Bonnie Berger	2
+	Gradient Descent Finds Global Minima of Deep Neural Networks	2018	Simon S. Du Jason D. Lee Haochuan Li Liwei Wang Xiyu Zhai	2
+	XONN: XNOR-based Oblivious Deep Neural Network Inference	2019	M. Sadegh Riazi Mohammad Samragh Hao Chen Kim Laine Kristin Lauter Farinaz Koushanfar	2
+	Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication	2019	Anastasia Koloskova Sebastian U. Stich Martin Jaggi	2
+ PDF Chat	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	2
+	Asynchronous Decentralized Parallel Stochastic Gradient Descent	2017	Xiangru Lian Wei Zhang Ce Zhang Ji Liu	2
+	Optimization Methods for Large-Scale Machine Learning	2018	Léon Bottou Frank E. Curtis Jorge Nocedal	2
+	Enhancing Bitcoin Security and Performance with Strong Consistency via Collective Signing	2016	Eleftherios Kokoris-Kogias Philipp Jovanovic Nicolas Gailly Ismail Khoffi Linus Gasser Bryan Ford	2
+	Deep learning with Elastic Averaging SGD	2014	Sixin Zhang Anna Choromanska Yann LeCun	2
+	Efficient Private Statistics with Succinct Sketches	2016	Luca Melis George Danezis Emiliano De Cristofaro	2
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	2
+ PDF Chat	Secure Evaluation of Quantized Neural Networks	2020	Anders Dalskov Daniel Escudero Marcel Keller	2
+ PDF Chat	Differentially Private Model Publishing for Deep Learning	2019	Lei Yu Ling Liu Calton Pu Mehmet Emre Gürsoy Stacey Truex	2
+	BLAZE: Blazing Fast Privacy-Preserving Machine Learning	2020	Arpita Patra Ajith Suresh	2
+ 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	2
+	Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms	2018	Jianyu Wang Gauri Joshi	2
+	Evaluating Differentially Private Machine Learning in Practice	2019	Bargav Jayaraman David Evans	2
+	Gazelle: A Low Latency Framework for Secure Neural Network Inference	2018	Chiraag Juvekar Vinod Vaikuntanathan Anantha P. Chandrakasan	2