When are Non-Parametric Methods Robust?

13 March 2020

Papers citing "When are Non-Parametric Methods Robust?"

20 / 20 papers shown

Title
Analysis of Robustness of a Large Game Corpus Mahsa Bazzaz Seth Cooper 35 0 0 04 Apr 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 124 0 0 30 Dec 2024
Faithfulness and the Notion of Adversarial Sensitivity in NLP Explanations Supriya Manna Niladri Sett AAML 29 2 0 26 Sep 2024
The Adversarial Consistency of Surrogate Risks for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 27 5 0 17 May 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 32 8 0 17 Mar 2023
Robust Empirical Risk Minimization with Tolerance Robi Bhattacharjee Max Hopkins Akash Kumar Hantao Yu Kamalika Chaudhuri OOD 33 8 0 02 Oct 2022
Training-Time Attacks against k-Nearest Neighbors Ara Vartanian Will Rosenbaum Scott Alfeld 14 1 0 15 Aug 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 41 3 0 24 Jun 2022
The Consistency of Adversarial Training for Binary Classification Natalie Frank Jonathan Niles-Weed AAML 35 5 0 18 Jun 2022
Adversarial Attack and Defense for Non-Parametric Two-Sample Tests Xilie Xu Jingfeng Zhang Feng Liu Masashi Sugiyama Mohan S. Kankanhalli AAML 30 1 0 07 Feb 2022
The Many Faces of Adversarial Risk Muni Sreenivas Pydi Varun Jog AAML 48 29 0 22 Jan 2022
On the Existence of the Adversarial Bayes Classifier (Extended Version) Pranjal Awasthi Natalie Frank M. Mohri 29 24 0 03 Dec 2021
On the (Un-)Avoidability of Adversarial Examples Sadia Chowdhury Ruth Urner AAML 30 1 0 24 Jun 2021
Understanding Generalization in Adversarial Training via the Bias-Variance Decomposition Yaodong Yu Zitong Yang Yan Sun Jacob Steinhardt Yi Ma 18 17 0 17 Mar 2021
Consistent Non-Parametric Methods for Maximizing Robustness Robi Bhattacharjee Kamalika Chaudhuri AAML 47 8 0 18 Feb 2021
Sample Complexity of Adversarially Robust Linear Classification on Separated Data Robi Bhattacharjee S. Jha Kamalika Chaudhuri 21 6 0 19 Dec 2020
Distributionally Robust Local Non-parametric Conditional Estimation Viet Anh Nguyen Fan Zhang Jose H. Blanchet Erick Delage Yinyu Ye OOD 12 26 0 12 Oct 2020
Provable tradeoffs in adversarially robust classification Yan Sun Hamed Hassani David Hong Alexander Robey 23 52 0 09 Jun 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 68 26 0 05 Mar 2020
Adversarial Risk via Optimal Transport and Optimal Couplings Muni Sreenivas Pydi Varun Jog 20 59 0 05 Dec 2019