Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge
Proofs

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs

26 November 2023

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Papers citing "Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs"

15 / 15 papers shown

Title
Practical Differentially Private and Byzantine-resilient Federated Learning Zihang Xiang Tianhao Wang Wanyu Lin Di Wang FedML 71 23 0 15 Apr 2023
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy Ergute Bao Yizheng Zhu X. Xiao Yifan Yang Beng Chin Ooi B. Tan Khin Mi Mi Aung FedML 80 19 0 08 Dec 2022
EIFFeL: Ensuring Integrity for Federated Learning A. Chowdhury Chuan Guo S. Jha Laurens van der Maaten FedML 133 77 0 23 Dec 2021
ACORN: Adaptive Coordinate Networks for Neural Scene Representation Julien N. P. Martel David B. Lindell Connor Z. Lin E. R. Chan M. Monteiro Gordon Wetzstein 3DPC 76 90 0 06 May 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 996 0 03 Feb 2021
MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis Jiancheng Yang Rui Shi Bingbing Ni VLM 99 305 0 28 Oct 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 89 611 0 09 Jul 2020
TabNet: Attentive Interpretable Tabular Learning Sercan O. Arik Tomas Pfister LMTD 206 1,365 0 20 Aug 2019
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li Canran Xu Xiangnan He Yixin Cao Tat-Seng Chua FedML 126 600 0 09 Nov 2018
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 114 100 0 14 Jun 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 159 1,486 0 10 May 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 131 1,520 0 05 Mar 2018
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 132 759 0 09 Jun 2017
Prio: Private, Robust, and Scalable Computation of Aggregate Statistics Henry Corrigan-Gibbs Dan Boneh 49 354 0 18 Mar 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 414 17,615 0 17 Feb 2016

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