Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,025 papers shown

Title
SITA: Single Image Test-time Adaptation Ansh Khurana S. Paul Piyush Rai Soma Biswas Gaurav Aggarwal 69 52 0 04 Dec 2021
Push Stricter to Decide Better: A Class-Conditional Feature Adaptive Framework for Improving Adversarial Robustness Jia-Li Yin Lehui Xie Wanqing Zhu Ximeng Liu Bo-Hao Chen TTA AAML 27 3 0 01 Dec 2021
Pyramid Adversarial Training Improves ViT Performance Charles Herrmann Kyle Sargent Lu Jiang Ramin Zabih Huiwen Chang Ce Liu Dilip Krishnan Deqing Sun ViT 32 56 0 30 Nov 2021
OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Shaozuo Yu Wufei Ma M. Yu Shenxiao Mei Angtian Wang Ju He Alan Yuille Adam Kortylewski 31 53 0 29 Nov 2021
Discrete Representations Strengthen Vision Transformer Robustness Chengzhi Mao Lu Jiang Mostafa Dehghani Carl Vondrick Rahul Sukthankar Irfan Essa ViT 27 44 0 20 Nov 2021
Combined Scaling for Zero-shot Transfer Learning Hieu H. Pham Zihang Dai Golnaz Ghiasi Kenji Kawaguchi Hanxiao Liu ... Yi-Ting Chen Minh-Thang Luong Yonghui Wu Mingxing Tan Quoc V. Le VLM 17 194 0 19 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 53 0 19 Nov 2021
TransMix: Attend to Mix for Vision Transformers Jieneng Chen Shuyang Sun Ju He Philip Torr Alan Yuille S. Bai ViT 28 103 0 18 Nov 2021
Merging Models with Fisher-Weighted Averaging Michael Matena Colin Raffel FedML MoMe 50 352 0 18 Nov 2021
Understanding and Testing Generalization of Deep Networks on Out-of-Distribution Data Rui Hu Jitao Sang Jinqiang Wang Rui Hu Chaoquan Jiang CML OOD 24 7 0 17 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning Xiaohua Zhai Tianlin Li Basil Mustafa Andreas Steiner Daniel Keysers Alexander Kolesnikov Lucas Beyer VLM 48 543 0 15 Nov 2021
iBOT: Image BERT Pre-Training with Online Tokenizer Jinghao Zhou Chen Wei Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong 21 711 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 308 7,457 0 11 Nov 2021
Are Transformers More Robust Than CNNs? Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 192 257 0 10 Nov 2021
Evaluating Predictive Uncertainty and Robustness to Distributional Shift Using Real World Data Kumud Lakara Akshat Bhandari Pratinav Seth Ujjwal Verma OOD 19 3 0 08 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 22 7 0 07 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong Yimeng Chen Liang Pang Xueqi Chen Yanyan Lan 13 20 0 07 Nov 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features Haohan Wang Zeyi Huang Hanlin Zhang Yong Jae Lee Eric P. Xing OOD 132 16 0 05 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021
A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges Mohammadreza Salehi Hossein Mirzaei Dan Hendrycks Yixuan Li M. Rohban Mohammad Sabokrou OOD 38 191 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 27 106 0 26 Oct 2021
Identifying and Benchmarking Natural Out-of-Context Prediction Problems David Madras D. Psaltis CML OOD 32 4 0 25 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 40 303 0 18 Oct 2021
Unrestricted Adversarial Attacks on ImageNet Competition YueFeng Chen Xiaofeng Mao Yuan He Hui Xue Chao Li ... Bingyang Fu Yunfei Zheng Yekui Wang Haorong Luo Zhen Yang AAML 29 10 0 17 Oct 2021
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation Yao Qin Chiyuan Zhang Ting Chen Balaji Lakshminarayanan Alex Beutel Xuezhi Wang ViT 50 43 0 15 Oct 2021
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees Feisi Fu Wenchao Li KELM AAML 41 26 0 14 Oct 2021
Why Out-of-distribution Detection in CNNs Does Not Like Mahalanobis -- and What to Use Instead Kamil Szyc T. Walkowiak H. Maciejewski OODD 21 0 0 13 Oct 2021
Out-of-Distribution Robustness in Deep Learning Compression Eric Lei Hamed Hassani Shirin Saeedi Bidokhti OOD OODD 8 5 0 13 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 169 408 0 12 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature Adapters Peng Gao Shijie Geng Renrui Zhang Teli Ma Rongyao Fang Yongfeng Zhang Hongsheng Li Yu Qiao VLM CLIP 101 984 0 09 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for Classification Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 21 6 0 08 Oct 2021
FOCUS: Familiar Objects in Common and Uncommon Settings Priyatham Kattakinda S. Feizi 26 10 0 07 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 48 27 0 07 Oct 2021
Sparse MoEs meet Efficient Ensembles J. Allingham F. Wenzel Zelda E. Mariet Basil Mustafa J. Puigcerver ... Balaji Lakshminarayanan Jasper Snoek Dustin Tran Carlos Riquelme Ruiz Rodolphe Jenatton MoE 46 21 0 07 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 186 275 0 28 Sep 2021
Compressive Visual Representations Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 65 48 0 27 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Ruihao Gong Yan Wang Aishan Liu Jiakai Wang ... Xianglong Liu D. Song Alan Yuille Philip Torr Dacheng Tao VLM AAML 26 106 0 11 Sep 2021
Robust fine-tuning of zero-shot models Mitchell Wortsman Gabriel Ilharco Jong Wook Kim Mike Li Simon Kornblith ... Raphael Gontijo-Lopes Hannaneh Hajishirzi Ali Farhadi Hongseok Namkoong Ludwig Schmidt VLM 64 691 0 04 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 348 2,271 0 02 Sep 2021
Real World Robustness from Systematic Noise Yan Wang Yuhang Li Ruihao Gong 28 7 0 02 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 39 3 0 30 Aug 2021
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures Sanghyuk Chun Song Park 16 6 0 24 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 32 108 0 19 Aug 2021
Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain Guangyao Chen Peixi Peng Li Ma Jia Li Lin Du Yonghong Tian AAML OOD 32 89 0 19 Aug 2021
On the Effect of Pruning on Adversarial Robustness Artur Jordão Hélio Pedrini AAML 40 22 0 10 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
Using Synthetic Corruptions to Measure Robustness to Natural Distribution Shifts Alfred Laugros A. Caplier Matthieu Ospici 22 5 0 26 Jul 2021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution Data D. Bashkirova Dan Hendrycks Donghyun Kim Samarth Mishra Kate Saenko Kuniaki Saito Piotr Teterwak Ben Usman OOD 24 19 0 23 Jul 2021
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks A. Malinin Neil Band Ganshin Alexander German Chesnokov ... Roginskiy Denis Mariya Shmatova Panos Tigas Boris Yangel UQCV OOD 29 126 0 15 Jul 2021