Title
Segmented Private Data Aggregation in the Multi-message Shuffle Model Shaowei Wang Hongqiao Chen Sufen Zeng Ruilin Yang Hui Jiang ... Kaiqi Yu Rundong Mei Shaozheng Huang Wei Yang Bangzhou Xin FedML 113 0 0 31 Dec 2024
Distributed Differentially Private Data Analytics via Secure Sketching Jakob Burkhardt Hannah Keller Claudio Orlandi Chris Schwiegelshohn FedML 156 0 0 30 Nov 2024
Private Vector Mean Estimation in the Shuffle Model: Optimal Rates Require Many Messages Hilal Asi Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar Samson Zhou FedML 60 5 0 16 Apr 2024
Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget Jiankai Jin C. Chuengsatiansup Toby C. Murray Benjamin I. P. Rubinstein Y. Yarom Olga Ohrimenko 74 9 0 31 Jan 2024
Differentially Private Heavy Hitter Detection using Federated Analytics Karan N. Chadha Junye Chen John C. Duchi Vitaly Feldman H. Hashemi O. Javidbakht Audra McMillan Kunal Talwar FedML 57 10 0 21 Jul 2023
Private Federated Learning in Gboard Yuanbo Zhang Daniel Ramage Zheng Xu Yanxiang Zhang Shumin Zhai Peter Kairouz FedML 78 7 0 26 Jun 2023
Fast Optimal Locally Private Mean Estimation via Random Projections Hilal Asi Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar FedML 71 15 0 07 Jun 2023
Federated Learning of Gboard Language Models with Differential Privacy Zheng Xu Yanxiang Zhang Galen Andrew Christopher A. Choquette-Choo Peter Kairouz H. B. McMahan Jesse Rosenstock Yuanbo Zhang FedML 93 81 0 29 May 2023
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML 53 21 0 09 Jan 2023
Invariant Aggregator for Defending against Federated Backdoor Attacks Xiaoya Wang Dimitrios Dimitriadis Oluwasanmi Koyejo Shruti Tople FedML 70 1 0 04 Oct 2022
Geographic Spines in the 2020 Census Disclosure Avoidance System Ryan Cumings-Menon John M. Abowd Robert Ashmead Daniel Kifer Philip Leclerc Jeffrey C. Ocker M. Ratcliffe Pavel I Zhuravlev CML 62 93 0 30 Mar 2022
Private Frequency Estimation via Projective Geometry Vitaly Feldman Jelani Nelson Huy Le Nguyen Kunal Talwar 88 21 0 01 Mar 2022
Differential Secrecy for Distributed Data and Applications to Robust Differentially Secure Vector Summation Kunal Talwar FedML 102 11 0 22 Feb 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 124 630 0 15 Feb 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 192 97 0 01 Feb 2022
Sample and Threshold Differential Privacy: Histograms and applications Akash Bharadwaj Graham Cormode FedML 52 18 0 10 Dec 2021
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 99 186 0 06 Dec 2021
Eluding Secure Aggregation in Federated Learning via Model Inconsistency Dario Pasquini Danilo Francati G. Ateniese FedML 77 104 0 14 Nov 2021
Papaya: Practical, Private, and Scalable Federated Learning Dzmitry Huba John Nguyen Kshitiz Malik Ruiyu Zhu Michael G. Rabbat ... H. Srinivas Kaikai Wang Anthony Shoumikhin Jesik Min Mani Malek FedML 148 140 0 08 Nov 2021
Adversarial Neuron Pruning Purifies Backdoored Deep Models Dongxian Wu Yisen Wang AAML 108 285 0 27 Oct 2021
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models Liam H. Fowl Jonas Geiping W. Czaja Micah Goldblum Tom Goldstein FedML 126 148 0 25 Oct 2021
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message Badih Ghazi Ravi Kumar Pasin Manurangsi Rasmus Pagh Amer Sinha FedML 113 36 0 27 Sep 2021
Opacus: User-Friendly Differential Privacy Library in PyTorch Ashkan Yousefpour I. Shilov Alexandre Sablayrolles Davide Testuggine Karthik Prasad ... Sayan Gosh Akash Bharadwaj Jessica Zhao Graham Cormode Ilya Mironov VLM 288 368 0 25 Sep 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 107 219 0 23 Aug 2021
Google COVID-19 Vaccination Search Insights: Anonymization Process Description S. Bavadekar Adam Boulanger John Davis Damien Desfontaines E. Gabrilovich ... Karen Smith Charlotte Stanton Mimi Sun Mark Young G. Wellenius 54 15 0 02 Jul 2021
See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin Arun Mallya Arash Vahdat J. Álvarez Jan Kautz Pavlo Molchanov FedML 92 474 0 15 Apr 2021
U.S. Broadband Coverage Data Set: A Differentially Private Data Release Mayana Pereira Allen Kim Joshua Allen Kevin White J. L. Ferres Rahul Dodhia 67 12 0 24 Mar 2021
Lossless Compression of Efficient Private Local Randomizers Vitaly Feldman Kunal Talwar 63 40 0 24 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 254 127 0 16 Feb 2021
Lightweight Techniques for Private Heavy Hitters Dan Boneh Elette Boyle Henry Corrigan-Gibbs N. Gilboa Yuval Ishai 92 114 0 29 Dec 2020
Hiding Among the Clones: A Simple and Nearly Optimal Analysis of Privacy Amplification by Shuffling Vitaly Feldman Audra McMillan Kunal Talwar FedML 81 162 0 23 Dec 2020
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown Basel Alomair Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 512 1,953 0 14 Dec 2020
A Members First Approach to Enabling LinkedIn's Labor Market Insights at Scale Ryan M. Rogers Adrian Rivera Cardoso Koray Mancuhan Akash Kaura Nikhil T. Gahlawat Neha Jain Paul Ko P. Ahammad 67 11 0 27 Oct 2020
What Neural Networks Memorize and Why: Discovering the Long Tail via Influence Estimation Vitaly Feldman Chiyuan Zhang TDI 219 470 0 09 Aug 2020
Improving on-device speaker verification using federated learning with privacy Filip Granqvist M. Seigel Rogier van Dalen Áine Cahill Stephen Shum Matthias Paulik FedML 51 56 0 06 Aug 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 87 611 0 09 Jul 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 121 1,234 0 31 Mar 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 37 81 0 14 Feb 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 94 302 0 11 Feb 2020
iDLG: Improved Deep Leakage from Gradients Bo Zhao Konda Reddy Mopuri Hakan Bilen FedML 81 643 0 08 Jan 2020
Can You Really Backdoor Federated Learning? Ziteng Sun Peter Kairouz A. Suresh H. B. McMahan FedML 85 579 0 18 Nov 2019
Private Aggregation from Fewer Anonymous Messages Badih Ghazi Pasin Manurangsi Rasmus Pagh A. Velingker FedML 108 57 0 24 Sep 2019
Manipulation Attacks in Local Differential Privacy Albert Cheu Adam D. Smith Jonathan R. Ullman 54 97 0 20 Sep 2019
Rényi Differential Privacy of the Sampled Gaussian Mechanism Ilya Mironov Kunal Talwar Li Zhang 101 287 0 28 Aug 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 103 2,227 0 21 Jun 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 142 500 0 12 Jun 2019
The Privacy Blanket of the Shuffle Model Borja Balle James Bell Adria Gascon Kobbi Nissim FedML 77 238 0 07 Mar 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 99 110 0 22 Feb 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning Moran Baruch Gilad Baruch Yoav Goldberg FedML 65 514 0 16 Feb 2019
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning Peng Kuang Mengkai Song Zhifei Zhang Yang Song Qian Wang Hairong Qi FedML 98 786 0 03 Dec 2018