Adversarial Examples Are a Natural Consequence of Test Error in Noise

29 January 2019

Justin Gilmer

Papers citing "Adversarial Examples Are a Natural Consequence of Test Error in Noise"

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Title
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 57 0 15 Jun 2022
MaxStyle: Adversarial Style Composition for Robust Medical Image Segmentation Chong Chen Zeju Li Cheng Ouyang Matthew Sinclair Wenjia Bai Daniel Rueckert OOD 34 30 0 02 Jun 2022
On the Perils of Cascading Robust Classifiers Ravi Mangal Zifan Wang Chi Zhang Klas Leino C. Păsăreanu Matt Fredrikson AAML 34 0 0 01 Jun 2022
When adversarial examples are excusable Pieter-Jan Kindermans Charles Staats AAML 27 0 0 25 Apr 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 19 3 0 25 Apr 2022
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions Yuhang Lu Touradj Ebrahimi 39 4 0 22 Mar 2022
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection Yuhang Lu Ru Luo Touradj Ebrahimi 32 0 0 22 Mar 2022
Label-only Model Inversion Attack: The Attack that Requires the Least Information Dayong Ye Tianqing Zhu Shuai Zhou B. Liu Wanlei Zhou 27 4 0 13 Mar 2022
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation Saeed Ranjbar Alvar Lanjun Wang Jiangbo Pei Yong Zhang VLM 18 2 0 10 Mar 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 53 107 0 02 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 32 9 0 02 Mar 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko X. Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 19 0 0 25 Feb 2022
Fourier-Based Augmentations for Improved Robustness and Uncertainty Calibration Ryan Soklaski Michael Yee Theodoros Tsiligkaridis AAML 22 14 0 24 Feb 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training Pau de Jorge Adel Bibi Riccardo Volpi Amartya Sanyal Philip Torr Grégory Rogez P. Dokania AAML 57 45 0 02 Feb 2022
DeepAdversaries: Examining the Robustness of Deep Learning Models for Galaxy Morphology Classification A. Ćiprijanović Diana Kafkes Gregory F. Snyder F. Sánchez G. Perdue K. Pedro Brian D. Nord Sandeep Madireddy Stefan M. Wild AAML 42 15 0 28 Dec 2021
Unsupervised Domain Adaptation for Semantic Image Segmentation: a Comprehensive Survey G. Csurka Riccardo Volpi Boris Chidlovskii OOD VLM 3DV 65 40 0 06 Dec 2021
Editing a classifier by rewriting its prediction rules Shibani Santurkar Dimitris Tsipras Mahalaxmi Elango David Bau Antonio Torralba A. Madry KELM 186 89 0 02 Dec 2021
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding Bum Jun Kim Hyeyeon Choi Hyeonah Jang Dong Gu Lee Wonseok Jeong Sang Woo Kim ViT 27 8 0 16 Nov 2021
Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection Chunjong Park Anas Awadalla Tadayoshi Kohno Shwetak N. Patel OOD 30 29 0 26 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zhangyang Wang 27 107 0 26 Oct 2021
Combining Diverse Feature Priors Saachi Jain Dimitris Tsipras A. Madry 69 14 0 15 Oct 2021
Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions Chenyu Yi Siyuan Yang Haoliang Li Yap-Peng Tan Alex C. Kot 26 32 0 13 Oct 2021
Distribution Mismatch Correction for Improved Robustness in Deep Neural Networks Alexander Fuchs Christian Knoll Franz Pernkopf OOD 16 3 0 05 Oct 2021
Classification and Adversarial examples in an Overparameterized Linear Model: A Signal Processing Perspective Adhyyan Narang Vidya Muthukumar A. Sahai SILM AAML 36 1 0 27 Sep 2021
Training on Test Data with Bayesian Adaptation for Covariate Shift Aurick Zhou Sergey Levine OOD TTA 50 13 0 27 Sep 2021
Regional Adversarial Training for Better Robust Generalization Chuanbiao Song Yanbo Fan Yichen Yang Baoyuan Wu Yiming Li Zhifeng Li Kun He AAML OOD 21 6 0 02 Sep 2021
Enhancing Adversarial Robustness via Test-time Transformation Ensembling Juan C. Pérez Motasem Alfarra Guillaume Jeanneret Laura Rueda Ali K. Thabet Guohao Li Pablo Arbelaez 33 26 0 29 Jul 2021
The Values Encoded in Machine Learning Research Abeba Birhane Pratyusha Kalluri Dallas Card William Agnew Ravit Dotan Michelle Bao 41 274 0 29 Jun 2021
Test-Time Adaptation to Distribution Shift by Confidence Maximization and Input Transformation Chaithanya Kumar Mummadi Robin Hutmacher K. Rambach Evgeny Levinkov Thomas Brox J. H. Metzen TTA OOD 35 70 0 28 Jun 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 25 3 0 25 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 11 12 0 14 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor A. Madry 40 40 0 07 Jun 2021
$Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models$ Robustifying $\ell_\infty$ Adversarial Training to the Union of Perturbation Models Ameya D. Patil Michael Tuttle A. Schwing Naresh R Shanbhag AAML 21 0 0 31 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Dequan Wang An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 26 27 0 18 May 2021
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis Yijun Yang Ruiyuan Gao Yu Li Qiuxia Lai Qiang Xu AAML 21 1 0 20 Apr 2021
InAugment: Improving Classifiers via Internal Augmentation Moab Arar Ariel Shamir Amit H. Bermano 19 2 0 08 Apr 2021
Achieving Transparency Report Privacy in Linear Time Chien-Lun Chen L. Golubchik R. Pal 11 4 0 31 Mar 2021
Improving robustness against common corruptions with frequency biased models Tonmoy Saikia Cordelia Schmid Thomas Brox OOD 26 40 0 30 Mar 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries Kun-Peng Ning Lue Tao Songcan Chen Sheng-Jun Huang AAML OOD 22 14 0 27 Mar 2021
On Generating Transferable Targeted Perturbations Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 34 72 0 26 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 27 2 0 21 Mar 2021
Robustness via Cross-Domain Ensembles Teresa Yeo Oğuzhan Fatih Kar Alexander Sax Amir Zamir UQCV OOD 12 25 0 19 Mar 2021
Constant Random Perturbations Provide Adversarial Robustness with Minimal Effect on Accuracy Bronya R. Chernyak Bhiksha Raj Tamir Hazan Joseph Keshet AAML 18 1 0 15 Mar 2021
On the effectiveness of adversarial training against common corruptions Klim Kireev Maksym Andriushchenko Nicolas Flammarion AAML 19 101 0 03 Mar 2021
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models Liuqiao Chen Hu Wang Benjamin Zi Hao Zhao Minhui Xue Hai-feng Qian PICV 27 4 0 23 Feb 2021
Membership Inference Attacks are Easier on Difficult Problems Avital Shafran Shmuel Peleg Yedid Hoshen MIACV 19 16 0 15 Feb 2021
Universal Adversarial Perturbations Through the Lens of Deep Steganography: Towards A Fourier Perspective Chaoning Zhang Philipp Benz Adil Karjauv In So Kweon AAML 36 42 0 12 Feb 2021
Robustness in Compressed Neural Networks for Object Detection Sebastian Cygert A. Czyżewski 31 8 0 10 Feb 2021
Towards Bridging the gap between Empirical and Certified Robustness against Adversarial Examples Jay Nandy Sudipan Saha W. Hsu M. Lee Xiaosu Zhu AAML 30 3 0 09 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 86 476 0 02 Feb 2021