Learning from Untrusted Data

7 November 2016

Papers citing "Learning from Untrusted Data"

50 / 186 papers shown

Title
List-Decodable Mean Estimation via Iterative Multi-Filtering Ilias Diakonikolas D. Kane Daniel Kongsgaard 22 22 0 18 Jun 2020
Efficient Statistics for Sparse Graphical Models from Truncated Samples Arnab Bhattacharyya Rathin Desai Sai Ganesh Nagarajan Ioannis Panageas 11 4 0 17 Jun 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches Weihao Kong Raghav Somani Sham Kakade Sewoong Oh OOD 10 35 0 17 Jun 2020
List Learning with Attribute Noise Mahdi Cheraghchi Elena Grigorescu Brendan Juba K. Wimmer Ning Xie 8 2 0 11 Jun 2020
Estimating Principal Components under Adversarial Perturbations Pranjal Awasthi Xue Chen Aravindan Vijayaraghavan AAML 17 2 0 31 May 2020
Learning with Weak Supervision for Email Intent Detection Kai Shu Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah Milad Shokouhi S. Dumais 16 34 0 26 May 2020
Reducibility and Statistical-Computational Gaps from Secret Leakage Matthew Brennan Guy Bresler 38 86 0 16 May 2020
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data Deepesh Data Suhas Diggavi FedML 23 37 0 16 May 2020
Outlier-Robust Clustering of Non-Spherical Mixtures Ainesh Bakshi Pravesh Kothari 27 31 0 06 May 2020
A Separation Result Between Data-oblivious and Data-aware Poisoning Attacks Samuel Deng Sanjam Garg S. Jha Saeed Mahloujifar Mohammad Mahmoody Abhradeep Thakurta 20 3 0 26 Mar 2020
Resilience in Collaborative Optimization: Redundant and Independent Cost Functions Nirupam Gupta Nitin H. Vaidya 30 18 0 21 Mar 2020
A General Method for Robust Learning from Batches Ayush Jain A. Orlitsky OOD 4 16 0 25 Feb 2020
Learning Structured Distributions From Untrusted Batches: Faster and Simpler Sitan Chen Jungshian Li Ankur Moitra 16 18 0 24 Feb 2020
List-Decodable Subspace Recovery: Dimension Independent Error in Polynomial Time Ainesh Bakshi Pravesh Kothari 31 23 0 12 Feb 2020
On Robust Mean Estimation under Coordinate-level Corruption Zifan Liu Jongho Park Theodoros Rekatsinas Christos Tzamos 33 8 0 10 Feb 2020
List Decodable Subspace Recovery P. Raghavendra Morris Yau 38 25 0 07 Feb 2020
Choosing the Sample with Lowest Loss makes SGD Robust Vatsal Shah Xiaoxia Wu Sujay Sanghavi 19 42 0 10 Jan 2020
Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments Sitan Chen Jingkai Li Zhao Song 21 39 0 16 Dec 2019
Adversarially Robust Low Dimensional Representations Pranjal Awasthi Vaggos Chatziafratis Xue Chen Aravindan Vijayaraghavan AAML OOD 20 12 0 29 Nov 2019
Optimal Robust Learning of Discrete Distributions from Batches Ayush Jain A. Orlitsky 16 14 0 19 Nov 2019
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering Ilias Diakonikolas Sushrut Karmalkar D. Kane Eric Price Alistair Stewart 23 41 0 19 Nov 2019
Recent Advances in Algorithmic High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane OOD 14 182 0 14 Nov 2019
Meta Label Correction for Noisy Label Learning Guoqing Zheng Ahmed Hassan Awadallah S. Dumais NoLa OffRL 27 178 0 10 Nov 2019
Worst-Case Analysis for Randomly Collected Data Justin Y. Chen Gregory Valiant Paul Valiant 12 3 0 09 Nov 2019
Efficiently Learning Structured Distributions from Untrusted Batches Sitan Chen Jingkai Li Ankur Moitra OOD FedML 31 16 0 05 Nov 2019
Robust Risk Minimization for Statistical Learning Muhammad Osama Dave Zachariah Petre Stoica OOD 11 7 0 03 Oct 2019
Generalized Resilience and Robust Statistics Banghua Zhu Jiantao Jiao Jacob Steinhardt 30 45 0 19 Sep 2019
Average-Case Lower Bounds for Learning Sparse Mixtures, Robust Estimation and Semirandom Adversaries Matthew Brennan Guy Bresler 31 12 0 08 Aug 2019
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems Wenbo Guo Lun Wang Masashi Sugiyama Min Du D. Song 33 227 0 02 Aug 2019
Efficient Truncated Statistics with Unknown Truncation Vasilis Kontonis Christos Tzamos Manolis Zampetakis 17 28 0 02 Aug 2019
A Unified Approach to Robust Mean Estimation Adarsh Prasad Sivaraman Balakrishnan Pradeep Ravikumar 17 27 0 01 Jul 2019
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty Dan Hendrycks Mantas Mazeika Saurav Kadavath D. Song OOD SSL 10 936 0 28 Jun 2019
Robust Federated Learning in a Heterogeneous Environment Avishek Ghosh Justin Hong Dong Yin Kannan Ramchandran OOD FedML 24 214 0 16 Jun 2019
Faster Algorithms for High-Dimensional Robust Covariance Estimation Yu Cheng Ilias Diakonikolas Rong Ge David P. Woodruff 29 65 0 11 Jun 2019
Mean estimation and regression under heavy-tailed distributions--a survey Gabor Lugosi S. Mendelson 10 238 0 10 Jun 2019
List-Decodable Linear Regression Sushrut Karmalkar Adam R. Klivans Pravesh Kothari 34 74 0 14 May 2019
How Hard Is Robust Mean Estimation? Samuel B. Hopkins Jerry Li 14 36 0 19 Mar 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions Anupam Gupta Tomer Koren Kunal Talwar AAML 8 151 0 22 Feb 2019
Robust Learning from Untrusted Sources Nikola Konstantinov Christoph H. Lampert FedML OOD 19 71 0 29 Jan 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty Dan Hendrycks Kimin Lee Mantas Mazeika NoLa 34 721 0 28 Jan 2019
High-Dimensional Robust Mean Estimation in Nearly-Linear Time Yu Cheng Ilias Diakonikolas Rong Ge 32 122 0 23 Nov 2018
Stronger Data Poisoning Attacks Break Data Sanitization Defenses Pang Wei Koh Jacob Steinhardt Percy Liang 6 240 0 02 Nov 2018
Spectral Signatures in Backdoor Attacks Brandon Tran Jerry Li A. Madry AAML 22 775 0 01 Nov 2018
Formal Verification of Neural Network Controlled Autonomous Systems Xiaowu Sun Haitham Khedr Yasser Shoukry 11 134 0 31 Oct 2018
Can Adversarially Robust Learning Leverage Computational Hardness? Saeed Mahloujifar Mohammad Mahmoody AAML OOD 19 48 0 02 Oct 2018
Efficient Statistics, in High Dimensions, from Truncated Samples C. Daskalakis Themis Gouleakis Christos Tzamos Manolis Zampetakis 44 47 0 11 Sep 2018
Universal Multi-Party Poisoning Attacks Saeed Mahloujifar Mohammad Mahmoody Ameer Mohammed AAML 20 43 0 10 Sep 2018
The Curse of Concentration in Robust Learning: Evasion and Poisoning Attacks from Concentration of Measure Saeed Mahloujifar Dimitrios I. Diochnos Mohammad Mahmoody 17 150 0 09 Sep 2018
VerIDeep: Verifying Integrity of Deep Neural Networks through Sensitive-Sample Fingerprinting Zecheng He Tianwei Zhang R. Lee FedML AAML MLAU 22 18 0 09 Aug 2018
$Conditional Sparse $\ell_p$-norm Regression With Optimal Probability$ Conditional Sparse $\ell_p$ -norm Regression With Optimal Probability John Hainline Brendan Juba H. Le David P. Woodruff 11 1 0 26 Jun 2018