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Natural Adversarial Examples

Computer Vision and Pattern Recognition (CVPR), 2019

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,164 papers shown

Title
Merging Models with Fisher-Weighted Averaging Michael Matena Colin Raffel FedML MoMe 410 507 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 152 7 0 17 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text TuningComputer Vision and Pattern Recognition (CVPR), 2021 Xiaohua Zhai Tianlin Li Basil Mustafa Andreas Steiner Daniel Keysers Alexander Kolesnikov Lucas Beyer VLM 540 653 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 301 899 0 15 Nov 2021
Masked Autoencoders Are Scalable Vision LearnersComputer Vision and Pattern Recognition (CVPR), 2021 Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 1.5K 9,744 0 11 Nov 2021
Are Transformers More Robust Than CNNs?Neural Information Processing Systems (NeurIPS), 2021 Yutong Bai Jieru Mei Alan Yuille Cihang Xie ViT AAML 415 309 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 174 4 0 08 Nov 2021
Natural Adversarial Objects Felix Lau Nishant Subramani Sasha Harrison Aerin Kim E. Branson Rosanne Liu 160 7 0 07 Nov 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong Yimeng Chen Liang Pang Xueqi Chen Yanyan Lan 116 23 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 302 16 0 05 Nov 2021
LTD: Low Temperature Distillation for Gradient Masking-free Adversarial TrainingACM Transactions on Cyber-Physical Systems (ACM TCPS), 2021 Erh-Chung Chen Che-Rung Lee AAML 294 27 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 Shouqing Yang M. Rohban Mohammad Sabokrou OOD 544 221 0 26 Oct 2021
AugMax: Adversarial Composition of Random Augmentations for Robust Training Haotao Wang Chaowei Xiao Jean Kossaifi Zhiding Yu Anima Anandkumar Zinan Lin 274 128 0 26 Oct 2021
Identifying and Benchmarking Natural Out-of-Context Prediction ProblemsNeural Information Processing Systems (NeurIPS), 2021 David Madras D. Psaltis CML OOD 186 5 0 25 Oct 2021
MEMO: Test Time Robustness via Adaptation and Augmentation Marvin Zhang Sergey Levine Chelsea Finn OOD TTA 452 435 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 130 13 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 178 55 0 15 Oct 2021
Sound and Complete Neural Network Repair with Minimality and Locality Guarantees Feisi Fu Wenchao Li KELM AAML 200 28 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 60 0 0 13 Oct 2021
Out-of-Distribution Robustness in Deep Learning Compression Eric Lei Hamed Hassani Shirin Saeedi Bidokhti OOD OODD 124 5 0 13 Oct 2021
Open-Set Recognition: a Good Closed-Set Classifier is All You Need?International Conference on Learning Representations (ICLR), 2021 S. Vaze Kai Han Andrea Vedaldi Andrew Zisserman BDL 427 533 0 12 Oct 2021
CLIP-Adapter: Better Vision-Language Models with Feature AdaptersInternational Journal of Computer Vision (IJCV), 2021 Shiyang Feng Shijie Geng Renrui Zhang Teli Ma Rongyao Fang Zelong Li Jiaming Song Yu Qiao VLM CLIP 1.0K 1,385 0 09 Oct 2021
Observations on K-image Expansion of Image-Mixing Augmentation for ClassificationIEEE Access (IEEE Access), 2021 Joonhyun Jeong Sungmin Cha Jongwon Choi Sangdoo Yun Taesup Moon Y. Yoo VLM 196 7 0 08 Oct 2021
FOCUS: Familiar Objects in Common and Uncommon Settings Priyatham Kattakinda Soheil Feizi 124 12 0 07 Oct 2021
Robust Feature-Level Adversaries are Interpretability Tools Stephen Casper Max Nadeau Dylan Hadfield-Menell Gabriel Kreiman AAML 658 32 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 220 23 0 07 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 567 335 0 28 Sep 2021
Compressive Visual RepresentationsNeural Information Processing Systems (NeurIPS), 2021 Kuang-Huei Lee Anurag Arnab S. Guadarrama John F. Canny Ian S. Fischer SSL 238 52 0 27 Sep 2021
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques Shiyu Tang Yazhe Niu Yan Wang Aishan Liu Jinyang Guo ... Xianglong Liu Basel Alomair Alan Yuille Juil Sock Dacheng Tao VLM AAML 206 118 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 440 872 0 04 Sep 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 1.0K 3,213 0 02 Sep 2021
Real World Robustness from Systematic Noise Yan Wang Yuhang Li Yazhe Niu 110 9 0 02 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Tianyu Wang Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 384 624 0 31 Aug 2021
SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts Masanari Kimura Takuma Nakamura Yuki Saito OOD 177 3 0 30 Aug 2021
StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures Sanghyuk Chun Song Park 120 7 0 24 Aug 2021
Causal Attention for Unbiased Visual Recognition Tan Wang Chan Zhou Qianru Sun Hanwang Zhang OOD CML 162 139 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 118 118 0 19 Aug 2021
On the Effect of Pruning on Adversarial Robustness Artur Jordão Hélio Pedrini AAML 200 28 0 10 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 418 290 0 01 Aug 2021
Using Synthetic Corruptions to Measure Robustness to Natural Distribution ShiftsBritish Machine Vision Conference (BMVC), 2021 Alfred Laugros A. Caplier Matthieu Ospici 118 7 0 26 Jul 2021
VisDA-2021 Competition Universal Domain Adaptation to Improve Performance on Out-of-Distribution DataNeural Information Processing Systems (NeurIPS), 2021 D. Bashkirova Dan Hendrycks Donghyun Kim Samarth Mishra Kate Saenko Kuniaki Saito Piotr Teterwak Ben Usman OOD 134 24 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 400 144 0 15 Jul 2021
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 215 104 0 14 Jul 2021
What classifiers know what they don't? Mohamed Ishmael Belghazi David Lopez-Paz 177 7 0 13 Jul 2021
Adversarial Motorial Prototype Framework for Open Set Recognition Ziheng Xia Penghui Wang Ganggang Dong Hongwei Liu 98 9 0 13 Jul 2021
Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution GeneralizationInternational Conference on Machine Learning (ICML), 2021 John Miller Rohan Taori Aditi Raghunathan Shiori Sagawa Pang Wei Koh Vaishaal Shankar Abigail Z. Jacobs Y. Carmon Ludwig Schmidt OODD OOD 256 310 0 09 Jul 2021
Predicting with Confidence on Unseen Distributions Devin Guillory Vaishaal Shankar Sayna Ebrahimi Trevor Darrell Ludwig Schmidt UQCV OOD 254 136 0 07 Jul 2021
Long-Short Transformer: Efficient Transformers for Language and Vision Chen Zhu Ming-Yu Liu Chaowei Xiao Mohammad Shoeybi Tom Goldstein Anima Anandkumar Bryan Catanzaro ViT VLM 350 156 0 05 Jul 2021
Global Filter Networks for Image Classification Yongming Rao Wenliang Zhao Zheng Zhu Jiwen Lu Jie Zhou ViT 244 575 0 01 Jul 2021
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic SparsityInternational Conference on Learning Representations (ICLR), 2021 Shiwei Liu Tianlong Chen Zahra Atashgahi Xiaohan Chen Ghada Sokar Elena Mocanu Mykola Pechenizkiy Zinan Lin Decebal Constantin Mocanu OOD 331 62 0 28 Jun 2021