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

5 August 2018

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

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Title
I Am Big, You Are Little; I Am Right, You Are Wrong David A. Kelly Akchunya Chanchal Nathan Blake VLM 116 2 0 31 Jul 2025
Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity Nhut Truong Uri Hasson 64 0 0 31 Jul 2025
Reinforced Embodied Active Defense: Exploiting Adaptive Interaction for Robust Visual Perception in Adversarial 3D EnvironmentsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025 Xiao Yang Lingxuan Wu L. Wang Chengyang Ying Hang Su Jun Zhu AAML 168 1 0 24 Jul 2025
When Maximum Entropy Misleads Policy Optimization Ruipeng Zhang Ya-Chien Chang Sicun Gao 125 5 0 05 Jun 2025
Adversarially Pretrained Transformers May Be Universally Robust In-Context Learners Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 418 1 0 20 May 2025
On the uncertainty principle of neural networksiScience (iScience), 2022 Jun-Jie Zhang Dong-xiao Zhang Jian-Nan Chen L. Pang Deyu Meng 390 5 0 17 Jan 2025
OCCAM: Towards Cost-Efficient and Accuracy-Aware Classification Inference Dujian Ding Bicheng Xu L. Lakshmanan VLM 248 3 0 06 Jun 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 160 1 0 25 Mar 2024
Theoretical Understanding of Learning from Adversarial Perturbations Soichiro Kumano Hiroshi Kera Toshihiko Yamasaki AAML 178 4 0 16 Feb 2024
Improving Robustness of LiDAR-Camera Fusion Model against Weather Corruption from Fusion Strategy Perspective Yihao Huang Kaiyuan Yu Qing Guo Felix Juefei Xu Yang Liu Tianlin Li G. Pu Yang Liu 156 3 0 05 Feb 2024
Training Image Derivatives: Increased Accuracy and Universal Robustness V. Avrutskiy 299 0 0 21 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 142 3 0 10 Oct 2023
On Continuity of Robust and Accurate Classifiers Ramin Barati Reza Safabakhsh Mohammad Rahmati AAML 283 1 0 29 Sep 2023
Evaluating Adversarial Robustness with Expected Viable PerformanceInternational Conference on Machine Learning and Applications (ICMLA), 2023 Ryan McCoppin Colin Dawson Sean M. Kennedy L. Blaha AAML 147 0 0 18 Sep 2023
Rubric-Specific Approach to Automated Essay Scoring with Augmentation Training Brian Cho Youngbin Jang Jaewoong Yoon 128 4 0 06 Sep 2023
Input margins can predict generalization tooAAAI Conference on Artificial Intelligence (AAAI), 2023 Coenraad Mouton Marthinus W. Theunissen Marelie Hattingh Davel AAML UQCV AI4CE 163 5 0 29 Aug 2023
SysNoise: Exploring and Benchmarking Training-Deployment System InconsistencyConference on Machine Learning and Systems (MLSys), 2023 Yan Wang Yuhang Li Yazhe Niu Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 201 0 0 01 Jul 2023
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 126 1 0 26 Jun 2023
Neural Architecture Design and Robustness: A DatasetInternational Conference on Learning Representations (ICLR), 2023 Steffen Jung Jovita Lukasik Margret Keuper OOD AAML 143 21 0 11 Jun 2023
Improve Video Representation with Temporal Adversarial AugmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Jinhao Duan Quanfu Fan Hao-Ran Cheng Xiaoshuang Shi Kaidi Xu AAML AI4TS ViT 178 3 0 28 Apr 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics AspectsIEEE International Joint Conference on Neural Network (IJCNN), 2023 Conrad Sanderson David M. Douglas Qinghua Lu 158 18 0 17 Apr 2023
Overload: Latency Attacks on Object Detection for Edge DevicesComputer Vision and Pattern Recognition (CVPR), 2023 Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee AAML 266 19 0 11 Apr 2023
Understanding the Robustness of 3D Object Detection with Bird's-Eye-View Representations in Autonomous DrivingComputer Vision and Pattern Recognition (CVPR), 2023 Zijian Zhu Yichi Zhang Hai Chen Yinpeng Dong Shu Zhao Wenbo Ding Jiachen Zhong Shibao Zheng AAML 3DPC 157 60 0 30 Mar 2023
Distribution-restrained Softmax Loss for the Model Robustness Hao Wang Chen Li Jinzhe Jiang Xin Zhang Yaqian Zhao Weifeng Gong OOD 152 2 0 22 Mar 2023
Randomized Adversarial Training via Taylor ExpansionComputer Vision and Pattern Recognition (CVPR), 2023 Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 277 53 0 19 Mar 2023
Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions Manish Nagireddy Moninder Singh Samuel C. Hoffman Evaline Ju Karthikeyan N. Ramamurthy Kush R. Varshney 210 1 0 17 Feb 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge DistillationInternational Journal of Computer Vision (IJCV), 2023 Utkarsh Nath Yancheng Wang Yingzhen Yang AAML 174 4 0 19 Jan 2023
RobArch: Designing Robust Architectures against Adversarial Attacks Sheng-Hsuan Peng Weilin Xu Cory Cornelius Kevin Wenliang Li Rahul Duggal Duen Horng Chau Jason Martin AAML 158 8 0 08 Jan 2023
Tracing the Origin of Adversarial Attack for Forensic Investigation and DeterrenceIEEE International Conference on Computer Vision (ICCV), 2022 Han Fang Jiyi Zhang Yupeng Qiu Ke Xu Chengfang Fang E. Chang AAML 165 2 0 31 Dec 2022
Understanding Zero-Shot Adversarial Robustness for Large-Scale ModelsInternational Conference on Learning Representations (ICLR), 2022 Chengzhi Mao Scott Geng Junfeng Yang Xin Eric Wang Carl Vondrick VLM 236 105 0 14 Dec 2022
Understanding the Impact of Adversarial Robustness on Accuracy DisparityInternational Conference on Machine Learning (ICML), 2022 Yuzheng Hu Fan Wu Hongyang R. Zhang Hang Zhao 218 10 0 28 Nov 2022
Query Efficient Cross-Dataset Transferable Black-Box Attack on Action Recognition Rohit Gupta Naveed Akhtar Gaurav Kumar Nayak Lin Wang M. Shah AAML 155 1 0 23 Nov 2022
CLAWSAT: Towards Both Robust and Accurate Code ModelsIEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER), 2022 Jinghan Jia Shashank Srikant Tamara Mitrovska Chuang Gan Shiyu Chang Sijia Liu Una-May O’Reilly AAML 219 13 0 21 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box AttackPattern Recognition (Pattern Recogn.), 2022 Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 148 11 0 21 Nov 2022
Feature Weaken: Vicinal Data Augmentation for Classification Songhao Jiang Yan Chu Tian-Hui Ma Tianning Zang 137 0 0 20 Nov 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022 Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 297 23 0 17 Oct 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution PerspectiveIEEE Transactions on Image Processing (IEEE TIP), 2022 Yao Zhu YueFeng Chen Xiaodan Li Kejiang Chen Yuan He Xiang Tian Bo Zheng Yao-wu Chen Qingming Huang AAML 152 69 0 09 Oct 2022
Strength-Adaptive Adversarial Training Chaojian Yu Dawei Zhou Li Shen Jun Yu Bo Han Biwei Huang Nannan Wang Tongliang Liu OOD 135 5 0 04 Oct 2022
Exploring the Relationship between Architecture and Adversarially Robust GeneralizationComputer Vision and Pattern Recognition (CVPR), 2022 Aishan Liu Shiyu Tang Yaning Tan Yazhe Niu Boxi Wu Xianglong Liu Dacheng Tao AAML 161 23 0 28 Sep 2022
Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries Alexander Cann Ian Colbert I. Amer AAML 80 1 0 14 Sep 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 141 0 0 26 Aug 2022
Robustness Analysis of Video-Language Models Against Visual and Language PerturbationsNeural Information Processing Systems (NeurIPS), 2022 Madeline Chantry Schiappa Shruti Vyas Hamid Palangi Yogesh S Rawat Vibhav Vineet VLM 477 29 0 05 Jul 2022
Understanding Deep Learning via Decision BoundaryIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Shiye Lei Fengxiang He Yancheng Yuan Dacheng Tao 170 22 0 03 Jun 2022
Analyzing Modality Robustness in Multimodal Sentiment AnalysisNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Devamanyu Hazarika Yingting Li Bo Cheng Shuai Zhao Roger Zimmermann Soujanya Poria 153 37 0 30 May 2022
Semi-supervised Semantics-guided Adversarial Training for Trajectory PredictionIEEE International Conference on Computer Vision (ICCV), 2022 Ruochen Jiao Xiangguo Liu Takami Sato Qi Alfred Chen Qi Zhu AAML 185 24 0 27 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial AttacksInternational Conference on Computational Linguistics (COLING), 2022 Siddhartha Datta AAML 230 5 0 15 May 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision SettingsIEEE Symposium on Security and Privacy (IEEE S&P), 2022 Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu Jiliang Li Ting Wang AAML 192 22 0 07 Apr 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and BeyondComputer Vision and Pattern Recognition (CVPR), 2022 Yi Yu Wenhan Yang Yap-Peng Tan Alex C. Kot AAML 194 72 0 31 Mar 2022
A Manifold View of Adversarial RiskInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 Wen-jun Zhang Yikai Zhang Xiaoling Hu Mayank Goswami Chao Chen Dimitris N. Metaxas AAML 132 7 0 24 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based PriorIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 132 66 0 13 Mar 2022