Ajith Suresh

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All published works

Action	Title	Year	Authors
+ PDF Chat	InfAlign: Inference-aware language model alignment	2024	Ananth Balashankar Ziteng Sun Jonathan Berant Jacob Eisenstein Michael Collins Adrian Hutter Jong Lee Chirag Nagpal Flavien Prost Aradhana Sinha
+ PDF Chat	High-Throughput Secure Multiparty Computation with an Honest Majority in Various Network Settings	2024	Christopher Harth-Kitzerow Ajith Suresh Yongqin Wang Hossein Yalame Georg Carle Murali Annavaram
+ PDF Chat	ScionFL: Efficient and Robust Secure Quantized Aggregation	2024	Yaniv Ben-Itzhak Helen Möllering Benny Pinkas Thomas Schneider Ajith Suresh Oleksandr Tkachenko Shay Vargaftik Christian Weinert Hossein Yalame Avishay Yanai
+ PDF Chat	Comments on “Privacy-Enhanced Federated Learning Against Poisoning Adversaries”	2023	Thomas Schneider Ajith Suresh Hossein Yalame
+	HyFL: A Hybrid Framework For Private Federated Learning	2023	Felix Marx Thomas Schneider Ajith Suresh Tobias Wehrle Christian Weinert Hossein Yalame
+	Tetrad: Actively Secure 4PC for Secure Training and Inference	2022	Nishat Koti Arpita Patra Rahul Rachuri Ajith Suresh
+	Privadome: Protecting Citizen Privacy from Delivery Drones	2022	Gokulnath M. Pillai Eikansh Gupta Ajith Suresh Vinod Ganapathy Arpita Patra
+	Privacy-Preserving Epidemiological Modeling on Mobile Graphs	2022	Daniel Günther Marco Holz Benjamin Judkewitz Helen Möllering Benny Pinkas Thomas Schneider Ajith Suresh
+	ScionFL: Efficient and Robust Secure Quantized Aggregation	2022	Yaniv Ben-Itzhak Helen Möllering Benny Pinkas Thomas Schneider Ajith Suresh Oleksandr Tkachenko Shay Vargaftik Christian Weinert Hossein Yalame Avishay Yanai
+	MPClan: Protocol Suite for Privacy-Conscious Computations	2022	Nishat Koti Shravani Patil Arpita Patra Ajith Suresh
+	MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning	2021	Ajith Suresh
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh
+	SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning	2020	Nishat Koti Mahak Pancholi Arpita Patra Ajith Suresh
+	BLAZE: Blazing Fast Privacy-Preserving Machine Learning	2020	Arpita Patra Ajith Suresh
+ PDF Chat	ASTRA	2019	Harsh Chaudhari Ashish Choudhury Arpita Patra Ajith Suresh
+ PDF Chat	Fast Actively Secure OT Extension for Short Secrets	2017	Arpita Patra Pratik Sarkar Ajith Suresh

Common Coauthors

Coauthor	Papers Together
Arpita Patra	7
Hossein Yalame	5
Thomas Schneider	5
Christian Weinert	3
Benny Pinkas	3
Nishat Koti	3
Helen Möllering	3
Oleksandr Tkachenko	2
Rahul Rachuri	2
Avishay Yanai	2
Harsh Chaudhari	2
Yaniv Ben-Itzhak	2
Shay Vargaftik	2
Michael Collins	1
Jonathan Berant	1
Jacob Eisenstein	1
Yongqin Wang	1
Murali Annavaram	1
Christopher Harth-Kitzerow	1
Georg Carle	1
Ahmad Beirami	1
Flavien Prost	1
Mahak Pancholi	1
Tobias Wehrle	1
Benjamin Judkewitz	1
Gokulnath M. Pillai	1
Shravani Patil	1
Ziteng Sun	1
Aradhana Sinha	1
Marco Holz	1
Ananth Balashankar	1
Eikansh Gupta	1
Vinod Ganapathy	1
Felix Marx	1
Adrian Hutter	1
Jong Lee	1
Daniel Günther	1
Chirag Nagpal	1
Pratik Sarkar	1
Ashish Choudhury	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications	2018	M. Sadegh Riazi Christian Weinert Oleksandr Tkachenko Ebrahim M. Songhori Thomas Schneider Farinaz Koushanfar	4
+ PDF Chat	Membership Inference Attacks Against Machine Learning Models	2017	Reza Shokri Marco Stronati Congzheng Song Vitaly Shmatikov	3
+	Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning	2020	Harsh Chaudhari Rahul Rachuri Ajith Suresh	3
+	SWIFT: Super-fast and Robust Privacy-Preserving Machine Learning	2020	Nishat Koti Mahak Pancholi Arpita Patra Ajith Suresh	3
+	BLAZE: Blazing Fast Privacy-Preserving Machine Learning	2020	Arpita Patra Ajith Suresh	3
+ PDF Chat	ASTRA	2019	Harsh Chaudhari Ashish Choudhury Arpita Patra Ajith Suresh	3
+	Tetrad: Actively Secure 4PC for Secure Training and Inference	2022	Nishat Koti Arpita Patra Rahul Rachuri Ajith Suresh	3
+	QUIC-FL: Quick Unbiased Compression for Federated Learning	2022	Ran Ben Basat Shay Vargaftik Amit Portnoy Gil Einziger Yaniv Ben-Itzhak Michael Mitzenmacher	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+ PDF Chat	Uncertainty Principles and Vector Quantization	2010	Yurii Lyubarskii Roman Vershynin	2
+	XONN: XNOR-based Oblivious Deep Neural Network Inference	2019	M. Sadegh Riazi Mohammad Samragh Hao Chen Kim Laine Kristin Lauter Farinaz Koushanfar	2
+ PDF Chat	RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets	2019	Liping Li Wei Xu Tianyi Chen Georgios B. Giannakis Qing Ling	2
+ PDF Chat	Exploiting Unintended Feature Leakage in Collaborative Learning	2019	Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov	2
+	Knock Knock, Who's There? Membership Inference on Aggregate Location Data	2018	Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro	2
+	Stealing machine learning models via prediction APIs	2016	Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart	2
+	Eavesdrop the Composition Proportion of Training Labels in Federated Learning	2019	Lixu Wang Shichao Xu Xiao Wang Qi Zhu	2
+	Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning	2021	Jinhyun So Başak Güler A. Salman Avestimehr	2
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	2
+	Local Model Poisoning Attacks to Byzantine-Robust Federated Learning	2019	Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong	2
+	FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning	2020	Swanand Kadhe Nived Rajaraman O. Ozan Koyluoglu Kannan Ramchandran	2
+ PDF Chat	Sparse Communication for Distributed Gradient Descent	2017	Alham Fikri Aji Kenneth Heafield	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
+	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	2
+	FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping	2021	Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong	2
+ PDF Chat	Uncertainty principle for communication compression in distributed and federated learning and the search for an optimal compressor	2021	Mher Safaryan Egor Shulgin Peter Richtárik	2
+	EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback	2021	Peter Richtárik Igor Sokolov Ilyas Fatkhullin	2
+	A Field Guide to Federated Optimization	2021	Jianyu Wang Zachary Charles Zheng Xu Gauri Joshi H. Brendan McMahan Blaise Agüera y Arcas Maruan Al-Shedivat Galen Andrew Salman Avestimehr Katharine Daly	2
+	LightSecAgg: Rethinking Secure Aggregation in Federated Learning	2021	Chien-Sheng Yang Jinhyun So Chaoyang He Songze Li Qian Yu Salman Avestimehr	2
+ PDF Chat	BaFFLe: Backdoor Detection via Feedback-based Federated Learning	2021	Sébastien Andreina Giorgia Azzurra Marson Helen Möllering Ghassan Karame	2
+	Efficient Sparse Secure Aggregation for Federated Learning	2020	Constance Béguier Mathieu Andreux Eric W. Tramel	2
+ PDF Chat	Eluding Secure Aggregation in Federated Learning via Model Inconsistency	2022	Dario Pasquini Danilo Francati Giuseppe Ateniese	2
+	Secure aggregation for federated learning in flower	2021	Kwing Hei Li Pedro P. B. de Gusmão Daniel J. Beutel Nicholas D. Lane	2
+	SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation	2022	Yash More Prashanthi Ramachandran Priyam Panda Arup Mondal Harpreet Virk Debayan Gupta	2
+	On Biased Compression for Distributed Learning	2020	Aleksandr Beznosikov Samuel Horváth Peter Richtárik Mher Safaryan	2
+ PDF Chat	Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning	2022	Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage	2
+	Expanding the Reach of Federated Learning by Reducing Client Resource Requirements	2018	Sebastian Caldas Jakub Konečny H. Brendan McMahan Ameet Talwalkar	2
+ PDF Chat	FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients	2022	Zaixi Zhang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong	2
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	2
+	Gazelle: A Low Latency Framework for Secure Neural Network Inference	2018	Chiraag Juvekar Vinod Vaikuntanathan Anantha P. Chandrakasan	2
+	Fast and accurate classification of echocardiograms using deep learning	2017	Ali Madani Ramy Arnaout Mohammad R. K. Mofrad Rima Arnaout	2
+ PDF Chat	"Secure" Logistic Regression of Horizontally and Vertically Partitioned Distributed Databases	2007	Aleksandra Slavković Yuval Nardi M. Tibbits	1
+	FetchSGD: Communication-Efficient Federated Learning with Sketching	2020	Daniel Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora	1
+	Secure Medical Image Analysis with CrypTFlow	2020	Javier Alvarez-Valle Pratik Bhatu Nishanth Chandran Divya Gupta Aditya V. Nori Aseem Rastogi Mayank Rathee Rahul Sharma Shubham Ugare	1
+	Neural gradients are near-lognormal: improved quantized and sparse training	2020	Brian Chmiel Liad Ben-Uri Moran Shkolnik Elad Hoffer Ron Banner Daniel Soudry	1
+ PDF Chat	Backyard Cuckoo Hashing: Constant Worst-Case Operations with a Succinct Representation	2010	Yuriy Arbitman Moni Naor Gil Segev	1
+	New Bounds For Distributed Mean Estimation and Variance Reduction	2020	Peter Maxwell Davies Vijaykrishna Gurunathan Niusha Moshrefi Saleh Ashkboos Dan Alistarh	1
+ PDF Chat	ScionFL: Efficient and Robust Secure Quantized Aggregation	2024	Yaniv Ben-Itzhak Helen Möllering Benny Pinkas Thomas Schneider Ajith Suresh Oleksandr Tkachenko Shay Vargaftik Christian Weinert Hossein Yalame Avishay Yanai	1
+ PDF Chat	Characterization of Secure Multiparty Computation Without Broadcast	2017	Ran Cohen Iftach Haitner Eran Omri Lior Rotem	1
+	Communication-efficient distributed SGD with Sketching	2019	Nikita Ivkin Daniel Rothchild Enayat Ullah Vladimir Braverman Ion Stoica Raman Arora	1
+	Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix	2021	Maximilian Lam Gu-Yeon Wei David Brooks Vijay Janapa Reddi Michael Mitzenmacher	1