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v1v2 (latest)

Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

5 August 2018

ArXiv (abs)PDF HTML Github (98★)

Papers citing "Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models"

50 / 180 papers shown

Title
Robustness and Accuracy Could Be Reconcilable by (Proper) DefinitionInternational Conference on Machine Learning (ICML), 2022 Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 323 145 0 21 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving PerceptionIEEE Access (IEEE Access), 2022 Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 261 10 0 16 Feb 2022
Holistic Adversarial Robustness of Deep Learning ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Pin-Yu Chen Sijia Liu AAML 317 21 0 15 Feb 2022
A Survey on Model Compression and Acceleration for Pretrained Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Canwen Xu Julian McAuley 322 80 0 15 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Sai Li Tatjana Chavdarova AAML AI4CE 178 4 0 11 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case PerformanceInternational Conference on Machine Learning (ICML), 2022 Avi Schwarzschild Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 339 48 0 02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?Neural Information Processing Systems (NeurIPS), 2022 Lue Tao Lei Feng Jianguo Huang Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 602 17 0 31 Jan 2022
Efficient and Robust Classification for Sparse AttacksInternational Symposium on Information Theory (ISIT), 2022 M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 128 2 0 23 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 296 2 0 09 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 263 4 0 02 Dec 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Jiabo He AAML TPM 243 109 0 07 Oct 2021
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 310 39 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 367 496 0 04 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness Moninder Singh Gevorg Ghalachyan Kush R. Varshney R. Bryant 92 10 0 29 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 226 118 0 11 Sep 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT CompressionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Canwen Xu Wangchunshu Zhou Tao Ge Kelvin J. Xu Julian McAuley Furu Wei 192 46 0 07 Sep 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 157 12 0 18 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 175 51 0 03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 434 291 0 01 Aug 2021
A Survey on Trust Metrics for Autonomous Robotic SystemsAdvances in Artificial Intelligence and Machine Learning (AAIML), 2021 Vincenzo DiLuoffo W. Michalson 131 2 0 28 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger Alexander Wong AAML 76 1 0 18 Jun 2021
Light Lies: Optical Adversarial Attack Kyulim Kim Jeong-Soo Kim Seung-Ri Song Jun-Ho Choi Chul-Min Joo Jong-Seok Lee AAML 132 7 0 18 Jun 2021
Query Attack by Multi-Identity SurrogatesIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021 Sizhe Chen Zhehao Huang Qinghua Tao Xiaolin Huang AAML 299 6 0 31 May 2021
Deep Repulsive Prototypes for Adversarial Robustness A. Serban E. Poll Joost Visser OOD 103 3 0 26 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural NetworksInformation Sciences (Inf. Sci.), 2021 Cong Xu Xiang Li Min Yang AAML 115 16 0 19 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Yi Xu An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 202 30 0 18 May 2021
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning Franziska Boenisch Philip Sperl Konstantin Böttinger AAML 90 18 0 17 May 2021
Towards Robust Vision TransformerComputer Vision and Pattern Recognition (CVPR), 2021 Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 362 224 0 17 May 2021
Biometrics: Trust, but VerifyIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2021 Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 201 99 0 14 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial AttacksInternational Conference on Pattern Recognition (ICPR), 2021 Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 155 10 0 30 Apr 2021
Adversarial Robustness Guarantees for Gaussian ProcessesJournal of machine learning research (JMLR), 2021 A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 260 10 0 07 Apr 2021
$Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model$ Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture ModelSIAM Journal on Mathematics of Data Science (SIMODS), 2021 Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 140 8 0 05 Apr 2021
Fast Certified Robust Training with Short WarmupNeural Information Processing Systems (NeurIPS), 2021 Zhouxing Shi Yihan Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 264 65 0 31 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 91 2 0 21 Mar 2021
Generic Perceptual Loss for Modeling Structured Output DependenciesComputer Vision and Pattern Recognition (CVPR), 2021 Yifan Liu Hao Chen Yu Chen Wei Yin Chunhua Shen 106 37 0 18 Mar 2021
Adversarial Training is Not Ready for Robot LearningIEEE International Conference on Robotics and Automation (ICRA), 2021 Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 156 34 0 15 Mar 2021
Formalizing Generalization and Robustness of Neural Networks to Weight PerturbationsNeural Information Processing Systems (NeurIPS), 2021 Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 212 33 0 03 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 215 12 0 02 Mar 2021
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic LearningSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2021 Gerardo Ibarra-Vázquez Gustavo Olague Mariana Chan-Ley Cesar Puente C. Soubervielle-Montalvo AAML 119 16 0 01 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture SearchComplex & Intelligent Systems (CIS), 2021 Guoyang Xie Jinbao Wang Guo-Ding Yu Feng Zheng Yaochu Jin AAML 130 6 0 28 Feb 2021
On the robustness of randomized classifiers to adversarial examplesMachine-mediated learning (ML), 2021 Rafael Pinot Laurent Meunier Florian Yger Cédric Gouy-Pailler Y. Chevaleyre Jamal Atif AAML 133 14 0 22 Feb 2021
Effective and Efficient Vote Attack on Capsule NetworksInternational Conference on Learning Representations (ICLR), 2021 Jindong Gu Baoyuan Wu Volker Tresp AAML 134 27 0 19 Feb 2021
Training a Resilient Q-Network against Observational InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2021 Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 189 17 0 18 Feb 2021
Recent Advances in Adversarial Training for Adversarial RobustnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 369 564 0 02 Feb 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial AttacksNeurocomputing (Neurocomputing), 2021 Jia-Wei Liu Yaochu Jin AAML OOD 115 39 0 16 Jan 2021
Evaluating the Robustness of Collaborative AgentsAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 P. Knott Micah Carroll Sam Devlin K. Ciosek Katja Hofmann Anca Dragan Rohin Shah 142 40 0 14 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records Yiqin Yu Pin-Yu Chen Yuan Zhou Jing Mei OOD 75 1 0 13 Jan 2021
Unadversarial Examples: Designing Objects for Robust VisionNeural Information Processing Systems (NeurIPS), 2020 Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala Aleksander Madry Ashish Kapoor WIGM 176 62 0 22 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images Yaguan Qian Jiamin Wang Bin Wang Xiang Ling Zhaoquan Gu Chunming Wu Wassim Swaileh AAML 157 2 0 02 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame AttackIEEE International Conference on Computer Vision (ICCV), 2020 Ian Ryu Jun-Hyuk Kim Jun-Ho Choi Jong-Seok Lee AAML 179 20 0 30 Nov 2020

v1v2 (latest)

Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models

5 August 2018

ArXiv (abs)PDF HTML Github (98★)

Papers citing "Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models"

50 / 180 papers shown

Title
Robustness and Accuracy Could Be Reconcilable by (Proper) DefinitionInternational Conference on Machine Learning (ICML), 2022 Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 323 145 0 21 Feb 2022
Reducing Overconfidence Predictions for Autonomous Driving PerceptionIEEE Access (IEEE Access), 2022 Gledson Melotti C. Premebida Jordan J. Bird Diego Resende Faria Nuno Gonccalves 261 10 0 16 Feb 2022
Holistic Adversarial Robustness of Deep Learning ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Pin-Yu Chen Sijia Liu AAML 317 21 0 15 Feb 2022
A Survey on Model Compression and Acceleration for Pretrained Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2022 Canwen Xu Julian McAuley 322 80 0 15 Feb 2022
Improving Generalization via Uncertainty Driven Perturbations Matteo Pagliardini Gilberto Manunza Martin Jaggi Sai Li Tatjana Chavdarova AAML AI4CE 178 4 0 11 Feb 2022
Probabilistically Robust Learning: Balancing Average- and Worst-case PerformanceInternational Conference on Machine Learning (ICML), 2022 Avi Schwarzschild Luiz F. O. Chamon George J. Pappas Hamed Hassani AAML OOD 339 48 0 02 Feb 2022
Can Adversarial Training Be Manipulated By Non-Robust Features?Neural Information Processing Systems (NeurIPS), 2022 Lue Tao Lei Feng Jianguo Huang Jinfeng Yi Sheng-Jun Huang Songcan Chen AAML 602 17 0 31 Jan 2022
Efficient and Robust Classification for Sparse AttacksInternational Symposium on Information Theory (ISIT), 2022 M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 128 2 0 23 Jan 2022
Amicable Aid: Perturbing Images to Improve Classification Performance Juyeop Kim Jun-Ho Choi Soobeom Jang Jong-Seok Lee AAML 296 2 0 09 Dec 2021
Probabilistic Approach for Road-Users Detection Gledson Melotti Weihao Lu Pedro Conde Dezong Zhao A. Asvadi Nuno Gonçalves C. Premebida 263 4 0 02 Dec 2021
Exploring Architectural Ingredients of Adversarially Robust Deep Neural NetworksNeural Information Processing Systems (NeurIPS), 2021 Hanxun Huang Yisen Wang S. Erfani Quanquan Gu James Bailey Jiabo He AAML TPM 243 109 0 07 Oct 2021
Noisy Feature Mixup Soon Hoe Lim N. Benjamin Erichson Francisco Utrera Winnie Xu Michael W. Mahoney AAML 310 39 0 05 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 367 496 0 04 Oct 2021
An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness Moninder Singh Gevorg Ghalachyan Kush R. Varshney R. Bryant 92 10 0 29 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 226 118 0 11 Sep 2021
Beyond Preserved Accuracy: Evaluating Loyalty and Robustness of BERT CompressionConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Canwen Xu Wangchunshu Zhou Tao Ge Kelvin J. Xu Julian McAuley Furu Wei 192 46 0 07 Sep 2021
Semantic Perturbations with Normalizing Flows for Improved Generalization Oğuz Kaan Yüksel Sebastian U. Stich Martin Jaggi Tatjana Chavdarova AAML 157 12 0 18 Aug 2021
AdvRush: Searching for Adversarially Robust Neural Architectures J. Mok Byunggook Na Hyeokjun Choe Sungroh Yoon OOD AAML 175 51 0 03 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 434 291 0 01 Aug 2021
A Survey on Trust Metrics for Autonomous Robotic SystemsAdvances in Artificial Intelligence and Machine Learning (AAIML), 2021 Vincenzo DiLuoffo W. Michalson 131 2 0 28 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger Alexander Wong AAML 76 1 0 18 Jun 2021
Light Lies: Optical Adversarial Attack Kyulim Kim Jeong-Soo Kim Seung-Ri Song Jun-Ho Choi Chul-Min Joo Jong-Seok Lee AAML 132 7 0 18 Jun 2021
Query Attack by Multi-Identity SurrogatesIEEE Transactions on Artificial Intelligence (IEEE TAI), 2021 Sizhe Chen Zhehao Huang Qinghua Tao Xiaolin Huang AAML 299 6 0 31 May 2021
Deep Repulsive Prototypes for Adversarial Robustness A. Serban E. Poll Joost Visser OOD 103 3 0 26 May 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural NetworksInformation Sciences (Inf. Sci.), 2021 Cong Xu Xiang Li Min Yang AAML 115 16 0 19 May 2021
Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks Yi Xu An Ju Evan Shelhamer David Wagner Trevor Darrell AAML 202 30 0 18 May 2021
Gradient Masking and the Underestimated Robustness Threats of Differential Privacy in Deep Learning Franziska Boenisch Philip Sperl Konstantin Böttinger AAML 90 18 0 17 May 2021
Towards Robust Vision TransformerComputer Vision and Pattern Recognition (CVPR), 2021 Xiaofeng Mao Gege Qi YueFeng Chen Xiaodan Li Ranjie Duan Shaokai Ye Yuan He Hui Xue ViT 362 224 0 17 May 2021
Biometrics: Trust, but VerifyIEEE Transactions on Biometrics Behavior and Identity Science (TBBIS), 2021 Anil K. Jain Debayan Deb Joshua J. Engelsma FaML 201 99 0 14 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial AttacksInternational Conference on Pattern Recognition (ICPR), 2021 Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 155 10 0 30 Apr 2021
Adversarial Robustness Guarantees for Gaussian ProcessesJournal of machine learning research (JMLR), 2021 A. Patané Arno Blaas Luca Laurenti L. Cardelli Stephen J. Roberts Marta Z. Kwiatkowska GP AAML 260 10 0 07 Apr 2021
$Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture Model$ Robust Classification Under $\ell_0$ Attack for the Gaussian Mixture ModelSIAM Journal on Mathematics of Data Science (SIMODS), 2021 Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 140 8 0 05 Apr 2021
Fast Certified Robust Training with Short WarmupNeural Information Processing Systems (NeurIPS), 2021 Zhouxing Shi Yihan Wang Huan Zhang Jinfeng Yi Cho-Jui Hsieh AAML 264 65 0 31 Mar 2021
Natural Perturbed Training for General Robustness of Neural Network Classifiers Sadaf Gulshad A. Smeulders OOD AAML 91 2 0 21 Mar 2021
Generic Perceptual Loss for Modeling Structured Output DependenciesComputer Vision and Pattern Recognition (CVPR), 2021 Yifan Liu Hao Chen Yu Chen Wei Yin Chunhua Shen 106 37 0 18 Mar 2021
Adversarial Training is Not Ready for Robot LearningIEEE International Conference on Robotics and Automation (ICRA), 2021 Mathias Lechner Ramin Hasani Radu Grosu Daniela Rus T. Henzinger AAML 156 34 0 15 Mar 2021
Formalizing Generalization and Robustness of Neural Networks to Weight PerturbationsNeural Information Processing Systems (NeurIPS), 2021 Yu-Lin Tsai Chia-Yi Hsu Chia-Mu Yu Pin-Yu Chen AAML OOD 212 33 0 03 Mar 2021
Adversarial Examples can be Effective Data Augmentation for Unsupervised Machine LearningAAAI Conference on Artificial Intelligence (AAAI), 2021 Chia-Yi Hsu Pin-Yu Chen Songtao Lu Sijia Liu Chia-Mu Yu AAML 215 12 0 02 Mar 2021
Brain Programming is Immune to Adversarial Attacks: Towards Accurate and Robust Image Classification using Symbolic LearningSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2021 Gerardo Ibarra-Vázquez Gustavo Olague Mariana Chan-Ley Cesar Puente C. Soubervielle-Montalvo AAML 119 16 0 01 Mar 2021
Tiny Adversarial Mulit-Objective Oneshot Neural Architecture SearchComplex & Intelligent Systems (CIS), 2021 Guoyang Xie Jinbao Wang Guo-Ding Yu Feng Zheng Yaochu Jin AAML 130 6 0 28 Feb 2021
On the robustness of randomized classifiers to adversarial examplesMachine-mediated learning (ML), 2021 Rafael Pinot Laurent Meunier Florian Yger Cédric Gouy-Pailler Y. Chevaleyre Jamal Atif AAML 133 14 0 22 Feb 2021
Effective and Efficient Vote Attack on Capsule NetworksInternational Conference on Learning Representations (ICLR), 2021 Jindong Gu Baoyuan Wu Volker Tresp AAML 134 27 0 19 Feb 2021
Training a Resilient Q-Network against Observational InterferenceAAAI Conference on Artificial Intelligence (AAAI), 2021 Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 189 17 0 18 Feb 2021
Recent Advances in Adversarial Training for Adversarial RobustnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 369 564 0 02 Feb 2021
Multi-objective Search of Robust Neural Architectures against Multiple Types of Adversarial AttacksNeurocomputing (Neurocomputing), 2021 Jia-Wei Liu Yaochu Jin AAML OOD 115 39 0 16 Jan 2021
Evaluating the Robustness of Collaborative AgentsAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 P. Knott Micah Carroll Sam Devlin K. Ciosek Katja Hofmann Anca Dragan Rohin Shah 142 40 0 14 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records Yiqin Yu Pin-Yu Chen Yuan Zhou Jing Mei OOD 75 1 0 13 Jan 2021
Unadversarial Examples: Designing Objects for Robust VisionNeural Information Processing Systems (NeurIPS), 2020 Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala Aleksander Madry Ashish Kapoor WIGM 176 62 0 22 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images Yaguan Qian Jiamin Wang Bin Wang Xiang Ling Zhaoquan Gu Chunming Wu Wassim Swaileh AAML 157 2 0 02 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame AttackIEEE International Conference on Computer Vision (ICCV), 2020 Ian Ryu Jun-Hyuk Kim Jun-Ho Choi Jong-Seok Lee AAML 179 20 0 30 Nov 2020