Learning from Untrusted Data

7 November 2016

Papers citing "Learning from Untrusted Data"

36 / 186 papers shown

Title
Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett FedML 32 98 0 14 Jun 2018
On the adversarial robustness of robust estimators Lifeng Lai Erhan Bayraktar 11 10 0 11 Jun 2018
Conditional Linear Regression Diego Calderon Brendan Juba Sirui Li Zong-Yi Li Lisa Ruan 15 4 0 06 Jun 2018
Efficient Algorithms and Lower Bounds for Robust Linear Regression Ilias Diakonikolas Weihao Kong Alistair Stewart 27 161 0 31 May 2018
Strategyproof Linear Regression in High Dimensions Yiling Chen Chara Podimata Ariel D. Procaccia Nisarg Shah 10 76 0 27 May 2018
Robust Nonparametric Regression under Huber's $ε$ -contamination Model S. Du Yining Wang Sivaraman Balakrishnan Pradeep Ravikumar Aarti Singh 28 12 0 26 May 2018
Do Outliers Ruin Collaboration? Mingda Qiao 6 15 0 12 May 2018
Privately Learning High-Dimensional Distributions Gautam Kamath Jerry Li Vikrant Singhal Jonathan R. Ullman FedML 72 149 0 01 May 2018
Securing Distributed Gradient Descent in High Dimensional Statistical Learning Lili Su Jiaming Xu FedML 137 35 0 26 Apr 2018
Byzantine Stochastic Gradient Descent Dan Alistarh Zeyuan Allen-Zhu Jingkai Li FedML 24 296 0 23 Mar 2018
Efficient Algorithms for Outlier-Robust Regression Adam R. Klivans Pravesh Kothari Raghu Meka AAML 24 154 0 08 Mar 2018
Sever: A Robust Meta-Algorithm for Stochastic Optimization Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Jacob Steinhardt Alistair Stewart 23 288 0 07 Mar 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 16 1,467 0 05 Mar 2018
Best Arm Identification for Contaminated Bandits Jason M. Altschuler Victor-Emmanuel Brunel Alan Malek 22 45 0 26 Feb 2018
Robust Estimation via Robust Gradient Estimation Adarsh Prasad A. Suggala Sivaraman Balakrishnan Pradeep Ravikumar 30 220 0 19 Feb 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 70 547 0 14 Feb 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Bo-wen Li Kimberly Lu D. Song AAML SILM 44 1,808 0 15 Dec 2017
Outlier-robust moment-estimation via sum-of-squares Pravesh Kothari David Steurer 14 64 0 30 Nov 2017
Provably noise-robust, regularised $k$ -means clustering Shrinu Kushagra Yaoliang Yu Shai Ben-David 26 3 0 30 Nov 2017
Clustering Semi-Random Mixtures of Gaussians Pranjal Awasthi Aravindan Vijayaraghavan 23 10 0 23 Nov 2017
Learning Discrete Distributions from Untrusted Batches Mingda Qiao Gregory Valiant FedML 25 34 0 22 Nov 2017
Better Agnostic Clustering Via Relaxed Tensor Norms Pravesh Kothari Jacob Steinhardt 14 59 0 20 Nov 2017
List-Decodable Robust Mean Estimation and Learning Mixtures of Spherical Gaussians Ilias Diakonikolas D. Kane Alistair Stewart 14 146 0 20 Nov 2017
"Dave...I can assure you...that it's going to be all right..." -- A definition, case for, and survey of algorithmic assurances in human-autonomy trust relationships Brett W. Israelsen Nisar R. Ahmed 14 85 0 08 Nov 2017
Robust polynomial regression up to the information theoretic limit D. Kane Sushrut Karmalkar Eric Price 9 19 0 10 Aug 2017
A Data Prism: Semi-Verified Learning in the Small-Alpha Regime Michela Meister Gregory Valiant 22 0 0 09 Aug 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 27 746 0 09 Jun 2017
Does robustness imply tractability? A lower bound for planted clique in the semi-random model Jacob Steinhardt 11 17 0 17 Apr 2017
Robustly Learning a Gaussian: Getting Optimal Error, Efficiently Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Ankur Moitra Alistair Stewart 19 135 0 12 Apr 2017
Resilience: A Criterion for Learning in the Presence of Arbitrary Outliers Jacob Steinhardt Moses Charikar Gregory Valiant 39 138 0 15 Mar 2017
Being Robust (in High Dimensions) Can Be Practical Ilias Diakonikolas Gautam Kamath D. Kane Jerry Li Ankur Moitra Alistair Stewart 19 252 0 02 Mar 2017
Computationally Efficient Robust Estimation of Sparse Functionals S. Du Sivaraman Balakrishnan Aarti Singh 19 18 0 24 Feb 2017
Robust Sparse Estimation Tasks in High Dimensions Jerry Li 53 27 0 20 Feb 2017
Conditional Sparse Linear Regression Brendan Juba 27 12 0 18 Aug 2016
Robust Estimators in High Dimensions without the Computational Intractability Ilias Diakonikolas Gautam Kamath D. Kane Jingkai Li Ankur Moitra Alistair Stewart 21 505 0 21 Apr 2016
Improved Graph Clustering Yudong Chen Sujay Sanghavi Huan Xu 94 191 0 11 Oct 2012