Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

28 March 2019

Papers citing "Benchmarking Neural Network Robustness to Common Corruptions and Perturbations"

50 / 113 papers shown

Title
Face processing emerges from object-trained convolutional neural networks Zhenhua Zhao Ji Chen Zhicheng Lin Haojiang Ying OOD CVBM 108 0 0 29 May 2024
Probabilistic Verification of Neural Networks using Branch and Bound David Boetius Stefan Leue Tobias Sutter 88 2 0 27 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 112 6 0 19 May 2024
Optimizing Calibration by Gaining Aware of Prediction Correctness Yuchi Liu Lei Wang Yuli Zou James Zou Liang Zheng UQCV 89 2 0 19 Apr 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 81 6 0 22 Mar 2024
HyperVQ: MLR-based Vector Quantization in Hyperbolic Space Nabarun Goswami Yusuke Mukuta Tatsuya Harada 94 4 0 18 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 101 1 0 15 Mar 2024
Specification Overfitting in Artificial Intelligence Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 186 1 0 13 Mar 2024
A Bayesian Approach to OOD Robustness in Image Classification Prakhar Kaushik Adam Kortylewski Alan Yuille 61 2 0 12 Mar 2024
FriendNet: Detection-Friendly Dehazing Network Yihua Fan Yongzhen Wang Mingqiang Wei F. Wang H. Xie 92 4 0 07 Mar 2024
Leveraging Gradients for Unsupervised Accuracy Estimation under Distribution Shift Renchunzi Xie Ambroise Odonnat Vasilii Feofanov I. Redko Jianfeng Zhang Bo An UQCV 118 1 0 17 Jan 2024
MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness Xiaoyun Xu Shujian Yu Jingzheng Wu S. Picek AAML 82 0 0 08 Dec 2023
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 111 1 0 02 Nov 2023
Assessing Robustness via Score-Based Adversarial Image Generation Marcel Kollovieh Lukas Gosch Yan Scholten Marten Lienen Leo Schwinn Stephan Günnemann DiffM 101 6 0 06 Oct 2023
Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization Yongyi Su Xun Xu Kui Jia TTA 130 25 0 26 Sep 2023
An Empirical Study of Pre-trained Model Selection for Out-of-Distribution Generalization and Calibration Hiroki Naganuma Ryuichiro Hataya Kotaro Yoshida Ioannis Mitliagkas OODD 163 3 0 17 Jul 2023
Confidence-aware 3D Gaze Estimation and Evaluation Metric Qiaojie Zheng Jiucai Zhang 68 0 0 17 Mar 2023
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches Maura Pintor Daniele Angioni Angelo Sotgiu Christian Scano Ambra Demontis Battista Biggio Fabio Roli AAML 87 52 0 07 Mar 2022
Benchmarking the Robustness of Instance Segmentation Models Said Fahri Altindis Yusuf Dalva Hamza Pehlivan Aysegül Dündar VLM OOD 203 12 0 02 Sep 2021
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 94 73 0 07 Aug 2020
Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness Jeremiah Zhe Liu Zi Lin Shreyas Padhy Dustin Tran Tania Bedrax-Weiss Balaji Lakshminarayanan UQCV BDL 173 451 0 17 Jun 2020
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 183 1,483 0 11 Dec 2018
ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix Wichmann Wieland Brendel 103 2,670 0 29 Nov 2018
CURE-OR: Challenging Unreal and Real Environments for Object Recognition Dogancan Temel Jinsol Lee G. Al-Regib 41 43 0 18 Oct 2018
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions] Dogancan Temel G. Al-Regib 50 28 0 15 Oct 2018
Open Category Detection with PAC Guarantees Si Liu Risheek Garrepalli Thomas G. Dietterich Alan Fern Dan Hendrycks 56 84 0 01 Aug 2018
Evaluating and Understanding the Robustness of Adversarial Logit Pairing Logan Engstrom Andrew Ilyas Anish Athalye AAML 64 141 0 26 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 85 229 0 18 Jul 2018
Do CIFAR-10 Classifiers Generalize to CIFAR-10? Benjamin Recht Rebecca Roelofs Ludwig Schmidt Vaishaal Shankar OOD FedML ELM 166 412 0 01 Jun 2018
Why do deep convolutional networks generalize so poorly to small image transformations? Aharon Azulay Yair Weiss 73 560 0 30 May 2018
Adversarially Robust Generalization Requires More Data Ludwig Schmidt Shibani Santurkar Dimitris Tsipras Kunal Talwar Aleksander Madry OOD AAML 149 790 0 30 Apr 2018
Adversarial Logit Pairing Harini Kannan Alexey Kurakin Ian Goodfellow AAML 95 628 0 16 Mar 2018
Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise Dan Hendrycks Mantas Mazeika Duncan Wilson Kevin Gimpel NoLa 134 555 0 14 Feb 2018
CURE-TSR: Challenging Unreal and Real Environments for Traffic Sign Recognition Dogancan Temel Gukyeong Kwon Mohit Prabhushankar G. Al-Regib 35 72 0 07 Dec 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger 99 798 0 25 Nov 2017
Attacking the Madry Defense Model with $L_1$ -based Adversarial Examples Yash Sharma Pin-Yu Chen 88 118 0 30 Oct 2017
Standard detectors aren't (currently) fooled by physical adversarial stop signs Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 57 59 0 09 Oct 2017
Provably Minimally-Distorted Adversarial Examples Nicholas Carlini Guy Katz Clark W. Barrett D. Dill AAML 73 89 0 29 Sep 2017
Robust Physical-World Attacks on Deep Learning Models Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Chaowei Xiao Atul Prakash Tadayoshi Kohno Basel Alomair AAML 57 595 0 27 Jul 2017
Foolbox: A Python toolbox to benchmark the robustness of machine learning models Jonas Rauber Wieland Brendel Matthias Bethge AAML 63 283 0 13 Jul 2017
Comparing deep neural networks against humans: object recognition when the signal gets weaker Robert Geirhos David H. J. Janssen Heiko H. Schutt Jonas Rauber Matthias Bethge Felix Wichmann 75 244 0 21 Jun 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 310 12,069 0 19 Jun 2017
On Calibration of Modern Neural Networks Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger UQCV 299 5,833 0 14 Jun 2017
Certified Defenses for Data Poisoning Attacks Jacob Steinhardt Pang Wei Koh Percy Liang AAML 105 755 0 09 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods Nicholas Carlini D. Wagner AAML 126 1,864 0 20 May 2017
A Study and Comparison of Human and Deep Learning Recognition Performance Under Visual Distortions Samuel F. Dodge Lina Karam 3DH 62 422 0 06 May 2017
Google's Cloud Vision API Is Not Robust To Noise Hossein Hosseini Baicen Xiao Radha Poovendran AAML 63 124 0 16 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 76 1,520 0 11 Apr 2017
Quality Resilient Deep Neural Networks Samuel F. Dodge Lina Karam OOD 43 46 0 23 Mar 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 61 950 0 14 Feb 2017