On Robustness to Adversarial Examples and Polynomial Optimization

12 November 2019

Papers citing "On Robustness to Adversarial Examples and Polynomial Optimization"

10 / 10 papers shown

Title
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks Brendon G. Anderson Samuel Pfrommer Somayeh Sojoudi OOD 47 1 0 07 Oct 2023
MBGDT:Robust Mini-Batch Gradient Descent Hanming Wang Haozheng Luo Yue Wang 21 4 0 14 Jun 2022
A Manifold View of Adversarial Risk Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 19 6 0 24 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 26 9 0 02 Mar 2022
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 27 6 0 01 Mar 2021
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Chen Dan Yuting Wei Pradeep Ravikumar 26 45 0 29 Jun 2020
Estimating Principal Components under Adversarial Perturbations Pranjal Awasthi Xue Chen Aravindan Vijayaraghavan AAML 22 2 0 31 May 2020
Efficiently Learning Adversarially Robust Halfspaces with Noise Omar Montasser Surbhi Goel Ilias Diakonikolas Nathan Srebro 29 32 0 15 May 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi Natalie Frank M. Mohri AAML 41 56 0 28 Apr 2020
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 67 230 0 25 May 2018