Learning perturbation sets for robust machine learning

16 July 2020

J. Zico Kolter

Papers citing "Learning perturbation sets for robust machine learning"

29 / 29 papers shown

Title
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 52 4 0 22 Mar 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 40 1 0 09 Feb 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 45 0 0 25 Jan 2024
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 58 21 0 19 Feb 2023
Private and Reliable Neural Network Inference Nikola Jovanović Marc Fischer Samuel Steffen Martin Vechev 34 14 0 27 Oct 2022
Discovering Bugs in Vision Models using Off-the-shelf Image Generation and Captioning Olivia Wiles Isabela Albuquerque Sven Gowal VLM 43 47 0 18 Aug 2022
Improving Diversity with Adversarially Learned Transformations for Domain Generalization Tejas Gokhale Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura Chitta Baral Yezhou Yang 27 28 0 15 Jun 2022
Latent Space Smoothing for Individually Fair Representations Momchil Peychev Anian Ruoss Mislav Balunović Maximilian Baader Martin Vechev FaML 43 19 0 26 Nov 2021
Wiggling Weights to Improve the Robustness of Classifiers Sadaf Gulshad Ivan Sosnovik A. Smeulders OOD 30 0 0 18 Nov 2021
Improving Robustness using Generated Data Sven Gowal Sylvestre-Alvise Rebuffi Olivia Wiles Florian Stimberg D. A. Calian Timothy A. Mann 36 294 0 18 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 53 27 0 07 Oct 2021
Built-in Elastic Transformations for Improved Robustness Sadaf Gulshad Ivan Sosnovik A. Smeulders AAML 22 1 0 20 Jul 2021
Distributionally Robust Policy Learning via Adversarial Environment Generation Allen Z. Ren Anirudha Majumdar OOD 103 15 0 13 Jul 2021
Localized Uncertainty Attacks Ousmane Amadou Dia Theofanis Karaletsos C. Hazirbas Cristian Canton Ferrer I. Kabul E. Meijer AAML 26 2 0 17 Jun 2021
Fair Normalizing Flows Mislav Balunović Anian Ruoss Martin Vechev AAML 24 36 0 10 Jun 2021
Fixing Data Augmentation to Improve Adversarial Robustness Sylvestre-Alvise Rebuffi Sven Gowal D. A. Calian Florian Stimberg Olivia Wiles Timothy A. Mann AAML 36 271 0 02 Mar 2021
Adversarial Robustness with Non-uniform Perturbations Ece Naz Erdemir Jeffrey Bickford Luca Melis Sergul Aydore AAML 24 26 0 24 Feb 2021
Model-Based Domain Generalization Alexander Robey George J. Pappas Hamed Hassani OOD 45 129 0 23 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 86 477 0 02 Feb 2021
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 682 0 19 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 44 48 0 19 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 35 64 0 14 Oct 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Yue Liu AAML 38 128 0 09 Sep 2020
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations Huan Zhang Hongge Chen Chaowei Xiao Yue Liu Mingyan D. Liu Duane S. Boning Cho-Jui Hsieh AAML 49 261 0 19 Mar 2020
A Dataset of Multi-Illumination Images in the Wild Lukas Murmann Michael Gharbi M. Aittala F. Durand VLM 3DV 68 61 0 17 Oct 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 194 291 0 03 Sep 2019
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 258 916 0 21 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 314 3,115 0 04 Nov 2016