On Robustness to Adversarial Examples and Polynomial Optimization

12 November 2019

Pranjal Awasthi

Abhratanu Dutta

Aravindan Vijayaraghavan

OOD

AAML

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

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Title
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks Brendon G. Anderson Samuel Pfrommer Somayeh Sojoudi OOD 108 2 0 07 Oct 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 38 0 0 25 Jun 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 123 328 0 14 Apr 2023
MBGDT:Robust Mini-Batch Gradient Descent Hanming Wang Haozheng Luo Yue Wang 42 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 55 6 0 24 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 56 10 0 02 Mar 2022
On the (Un-)Avoidability of Adversarial Examples Sadia Chowdhury Ruth Urner AAML 57 1 0 24 Jun 2021
Calibration and Consistency of Adversarial Surrogate Losses Pranjal Awasthi Natalie Frank Anqi Mao M. Mohri Yutao Zhong AAML 76 48 0 19 Apr 2021
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries A. Bhagoji Daniel Cullina Vikash Sehwag Prateek Mittal AAML OOD 73 3 0 16 Apr 2021
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness Jacob D. Abernethy Pranjal Awasthi Satyen Kale AAML 59 6 0 01 Mar 2021
PAC-Learning for Strategic Classification Ravi Sundaram A. Vullikanti Haifeng Xu Fan Yao AAML 106 44 0 06 Dec 2020
Robust and Private Learning of Halfspaces Badih Ghazi Ravi Kumar Pasin Manurangsi Thao Nguyen 86 12 0 30 Nov 2020
ATRO: Adversarial Training with a Rejection Option Masahiro Kato Zhenghang Cui Yoshihiro Fukuhara AAML 47 11 0 24 Oct 2020
The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise Ilias Diakonikolas D. Kane Pasin Manurangsi 74 21 0 30 Jul 2020
Adversarial robustness via robust low rank representations Pranjal Awasthi Himanshu Jain A. S. Rawat Aravindan Vijayaraghavan AAML 56 23 0 13 Jul 2020
Black-box Certification and Learning under Adversarial Perturbations H. Ashtiani Vinayak Pathak Ruth Urner AAML 64 20 0 30 Jun 2020
Sharp Statistical Guarantees for Adversarially Robust Gaussian Classification Chen Dan Yuting Wei Pradeep Ravikumar 71 45 0 29 Jun 2020
Estimating Principal Components under Adversarial Perturbations Pranjal Awasthi Xue Chen Aravindan Vijayaraghavan AAML 45 2 0 31 May 2020
Efficiently Learning Adversarially Robust Halfspaces with Noise Omar Montasser Surbhi Goel Ilias Diakonikolas Nathan Srebro 89 33 0 15 May 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi Natalie Frank M. Mohri AAML 90 58 0 28 Apr 2020
A Closer Look at Accuracy vs. Robustness Yao-Yuan Yang Cyrus Rashtchian Hongyang R. Zhang Ruslan Salakhutdinov Kamalika Chaudhuri OOD 141 26 0 05 Mar 2020
Adversarially Robust Low Dimensional Representations Pranjal Awasthi Vaggos Chatziafratis Xue Chen Aravindan Vijayaraghavan AAML OOD 103 12 0 29 Nov 2019
Improved Generalization Bounds for Adversarially Robust Learning Idan Attias A. Kontorovich Yishay Mansour 82 20 0 04 Oct 2018