Being Robust (in High Dimensions) Can Be Practical

2 March 2017

Papers citing "Being Robust (in High Dimensions) Can Be Practical"

50 / 177 papers shown

Title
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 65 0 0 03 May 2025
Efficient Multivariate Robust Mean Estimation Under Mean-Shift Contamination Ilias Diakonikolas Giannis Iakovidis D. Kane Thanasis Pittas 87 0 0 20 Feb 2025
Optimal Rates for Robust Stochastic Convex Optimization Changyu Gao Andrew Lowy Xingyu Zhou Stephen J. Wright 78 0 0 15 Dec 2024
SoS Certifiability of Subgaussian Distributions and its Algorithmic Applications Ilias Diakonikolas Samuel B. Hopkins Ankit Pensia Stefan Tiegel 51 3 0 28 Oct 2024
Efficient Statistics With Unknown Truncation, Polynomial Time Algorithms, Beyond Gaussians Jane H. Lee Anay Mehrotra Manolis Zampetakis 35 1 0 02 Oct 2024
Distribution Learnability and Robustness Shai Ben-David Alex Bie Gautam Kamath Tosca Lechner 36 2 0 25 Jun 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions Sloan Nietert Ziv Goldfeld Soroosh Shafiee OOD 38 0 0 10 Jun 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy Puning Zhao Lifeng Lai Li Shen Qingming Li Xiaogang Xu Zhe Liu 55 7 0 22 May 2024
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing Shuyao Li Yu Cheng Ilias Diakonikolas Jelena Diakonikolas Rong Ge Stephen J. Wright 49 2 0 12 Mar 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games Andi Nika Debmalya Mandal Adish Singla Goran Radanović OffRL 34 2 0 04 Mar 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 62 1 0 19 Feb 2024
Corruption Robust Offline Reinforcement Learning with Human Feedback Debmalya Mandal Andi Nika Parameswaran Kamalaruban Adish Singla Goran Radanović OffRL 36 9 0 09 Feb 2024
Attacking Byzantine Robust Aggregation in High Dimensions Sarthak Choudhary Aashish Kolluri Prateek Saxena AAML 45 1 0 22 Dec 2023
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression Ilias Diakonikolas Daniel M. Kane Ankit Pensia Thanasis Pittas 40 2 0 04 Dec 2023
Outlier-Robust Wasserstein DRO Sloan Nietert Ziv Goldfeld Soroosh Shafiee 41 9 0 09 Nov 2023
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing Ankit Pratap Singh Namrata Vaswani 36 0 0 25 Sep 2023
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning Puning Zhao Fei Yu Zhiguo Wan FedML 46 13 0 24 Aug 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers Puning Zhao Zhiguo Wan OOD FedML 50 4 0 25 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 48 23 0 20 Jul 2023
Robust Nonparametric Regression under Poisoning Attack Puning Zhao Z. Wan AAML 28 8 0 26 May 2023
Robust Sparse Mean Estimation via Incremental Learning Jianhao Ma Ruidi Chen Yinghui He S. Fattahi Wei Hu 38 0 0 24 May 2023
On the Optimal Batch Size for Byzantine-Robust Distributed Learning Yi-Rui Yang Chang-Wei Shi Wu-Jun Li FedML AAML 29 0 0 23 May 2023
Learning Mixtures of Gaussians with Censored Data W. Tai Bryon Aragam 24 1 0 06 May 2023
Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas OOD 36 10 0 04 May 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 13 4 0 29 Mar 2023
Robustifying likelihoods by optimistically re-weighting data Miheer Dewaskar Christopher Tosh Jeremias Knoblauch David B. Dunson 32 5 0 19 Mar 2023
Robust Mean Estimation Without Moments for Symmetric Distributions Gleb Novikov David Steurer Stefan Tiegel OOD 31 0 0 21 Feb 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning Youssef Allouah R. Guerraoui Nirupam Gupta Rafael Pinot John Stephan FedML 26 21 0 09 Feb 2023
From Robustness to Privacy and Back Hilal Asi Jonathan R. Ullman Lydia Zakynthinou 44 27 0 03 Feb 2023
Near Optimal Private and Robust Linear Regression Xiyang Liu Prateek Jain Weihao Kong Sewoong Oh A. Suggala 41 9 0 30 Jan 2023
Statistically Optimal Robust Mean and Covariance Estimation for Anisotropic Gaussians A. Minasyan Nikita Zhivotovskiy 36 9 0 21 Jan 2023
Robustifying Markowitz W. Hardle Yegor Klochkov Alla Petukhina Nikita Zhivotovskiy 19 7 0 28 Dec 2022
Robustness Implies Privacy in Statistical Estimation Samuel B. Hopkins Gautam Kamath Mahbod Majid Shyam Narayanan 20 50 0 09 Dec 2022
Efficient List-Decodable Regression using Batches Abhimanyu Das Ayush Jain Weihao Kong Rajat Sen 30 4 0 23 Nov 2022
Knowledge Distillation for Federated Learning: a Practical Guide Alessio Mora Irene Tenison Paolo Bellavista Irina Rish FedML 25 17 0 09 Nov 2022
Towards Fair Classification against Poisoning Attacks Han Xu Xiaorui Liu Yuxuan Wan Jiliang Tang 21 2 0 18 Oct 2022
Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances Sloan Nietert Ritwik Sadhu Ziv Goldfeld Kengo Kato 40 37 0 17 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 37 58 0 10 Oct 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning Jiachen T. Wang Saeed Mahloujifar Shouda Wang R. Jia Prateek Mittal AAML 36 5 0 16 Sep 2022
Outlier Robust and Sparse Estimation of Linear Regression Coefficients Takeyuki Sasai Hironori Fujisawa 35 4 0 24 Aug 2022
Minimax Rates for Robust Community Detection Allen Liu Ankur Moitra 24 13 0 25 Jul 2022
Robust and Sparse Estimation of Linear Regression Coefficients with Heavy-tailed Noises and Covariates Takeyuki Sasai 26 4 0 15 Jun 2022
Robust Sparse Mean Estimation via Sum of Squares Ilias Diakonikolas D. Kane Sushrut Karmalkar Ankit Pensia Thanasis Pittas 30 21 0 07 Jun 2022
Byzantine-Robust Online and Offline Distributed Reinforcement Learning Yiding Chen Xuezhou Zhang Kaipeng Zhang Mengdi Wang Xiaojin Zhu OffRL 26 16 0 01 Jun 2022
List-Decodable Sparse Mean Estimation Shiwei Zeng Jie Shen 29 9 0 28 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 0 24 May 2022
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training Shuai Wang J. Hayase Giulia Fanti Sewoong Oh FedML 36 5 0 24 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 31 7 0 05 May 2022
Streaming Algorithms for High-Dimensional Robust Statistics Ilias Diakonikolas D. Kane Ankit Pensia Thanasis Pittas 24 21 0 26 Apr 2022
Nearly minimax robust estimator of the mean vector by iterative spectral dimension reduction A. Bateni A. Minasyan A. Dalalyan 34 2 0 05 Apr 2022