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Adversarial Robustness under Long-Tailed Distribution

Computer Vision and Pattern Recognition (CVPR), 2021

6 April 2021

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Papers citing "Adversarial Robustness under Long-Tailed Distribution"

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Title
Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data Feng Hong Yu Huang Zihua Zhao Zhihan Zhou Jiangchao Yao Dongsheng Li Y. Zhang Y. Wang 168 2 0 09 Oct 2025
Cross-Domain Multi-Person Human Activity Recognition via Near-Field Wi-Fi Sensing Xin Li Jingzhi Hu Yinghui He Hongbo Wang Jin Gan Jun Luo 48 0 0 27 Sep 2025
Divide, Weight, and Route: Difficulty-Aware Optimization with Dynamic Expert Fusion for Long-tailed Recognition Xiaolei Wei Yi Ouyang Haibo Ye MoMe 130 0 0 27 Aug 2025
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated DistributionAAAI Conference on Artificial Intelligence (AAAI), 2025 Songran Bai Yuheng Ji Yue Liu Xingwei Zhang Xiaolong Zheng D. Zeng 231 3 0 01 Apr 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 503 4 0 10 Mar 2025
Long-tailed Adversarial Training with Self-DistillationInternational Conference on Learning Representations (ICLR), 2025 Yujin Yang Hongsin Lee Changick Kim AAML TTA 979 1 0 09 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed DistributionsComputer Vision and Pattern Recognition (CVPR), 2025 Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 293 3 0 02 Mar 2025
Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs Peng Yifeng Wu Zhizheng Chen Chen AAML 171 1 0 23 Feb 2025
Revisiting Long-Tailed Learning: Insights from an Architectural Perspective Yuhan Pan Yanan Sun Wei Gong 361 1 0 09 Nov 2024
A Systematic Review on Long-Tailed LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024 Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 321 23 0 01 Aug 2024
Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models Simha Sankar Baradwaj Destiny Gilliland Jack Rincon Henning Hermjakob Yu Yan ... Dean Wang Karol Watson Alex Bui Wei Wang Peipei Ping 279 16 0 18 Jul 2024
Revisiting Adversarial Training under Long-Tailed DistributionsComputer Vision and Pattern Recognition (CVPR), 2024 Xinli Yue Ningping Mou Qian Wang Lingchen Zhao AAML 239 13 0 15 Mar 2024
COLA: Cross-city Mobility Transformer for Human Trajectory Simulation Yu Wang Tongya Zheng Yuxuan Liang Shunyu Liu Mingli Song 251 31 0 04 Mar 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach Han Lu Siyu Sun Yichen Xie Liqing Zhang Yunbo Wang Junchi Yan 225 3 0 01 Mar 2024
Double-Bounded Optimal Transport for Advanced Clustering and ClassificationAAAI Conference on Artificial Intelligence (AAAI), 2024 Liangliang Shi Zhaoqi Shen Junchi Yan OT 157 6 0 21 Jan 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 355 6 0 07 Dec 2023
ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection Zhongzhan Huang Pan Zhou Shuicheng Yan Guanbin Li 304 35 0 20 Oct 2023
Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation ModelsNeural Information Processing Systems (NeurIPS), 2023 Beier Zhu Kaihua Tang Qianru Sun Hanwang Zhang 226 32 0 12 Oct 2023
Doubly Robust Instance-Reweighted Adversarial TrainingInternational Conference on Learning Representations (ICLR), 2023 Daouda Sow Sen-Fon Lin Zinan Lin Yitao Liang AAML OOD 268 2 0 01 Aug 2023
Omnipotent Adversarial Training in the Wild Guanlin Li Kangjie Chen Yuan Xu Han Qiu Tianwei Zhang 271 0 0 14 Jul 2023
Alleviating the Effect of Data Imbalance on Adversarial Training Guanlin Li Guowen Xu Tianwei Zhang 218 3 0 14 Jul 2023
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual RecognitionInternational Conference on Machine Learning (ICML), 2023 Boran Han 151 14 0 30 May 2023
Use Your Head: Improving Long-Tail Video RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 187 23 0 03 Apr 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-TailComputer Vision and Pattern Recognition (CVPR), 2023 Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 349 17 0 31 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial RobustnessACM Computing Surveys (ACM Comput. Surv.), 2023 Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 338 14 0 17 Mar 2023
On the Adversarial Robustness of Camera-based 3D Object Detection Shaoyuan Xie Zichao Li Zeyu Wang Cihang Xie AAML 209 21 0 25 Jan 2023
Leveraging Angular Information Between Feature and Classifier for Long-tailed Learning: A Prediction Reformulation Approach Haoxu Wang Junchi Yan 180 1 0 03 Dec 2022
Class-Level Logit PerturbationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Mengyang Li Fengguang Su O. Wu Tianjin University AAML 267 5 0 13 Sep 2022
Towards Calibrated Hyper-Sphere Representation via Distribution Overlap Coefficient for Long-tailed LearningEuropean Conference on Computer Vision (ECCV), 2022 Hualiang Wang Siming Fu Xiaoxuan He Han Fang Zuozhu Liu Haoji Hu 198 23 0 22 Aug 2022
Open Long-Tailed Recognition in a Dynamic WorldIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 168 37 0 17 Aug 2022
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning D. Hoang Cuong C. Nguyen Cuong Nguyen anh Belagiannis Vasileios Thanh-Toan Do G. Carneiro 349 2 0 17 Aug 2022
Long-tailed Recognition by Learning from Latent Categories Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 457 5 0 02 Jun 2022
CalFAT: Calibrated Federated Adversarial Training with Label SkewnessNeural Information Processing Systems (NeurIPS), 2022 Chen Chen Yuchen Liu Jiabo He Lingjuan Lyu FedML 347 42 0 30 May 2022
A Survey on Long-Tailed Visual RecognitionInternational Journal of Computer Vision (IJCV), 2022 Pu Cao He Jiang Q. Song Jun Guo 264 160 0 27 May 2022
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification Liang Xu Yi Cheng Fan Zhang Bingxuan Wu Pengfei Shao Peng Liu Shuwei Shen Peng Yao Ronald X.Xu 183 1 0 24 May 2022
Can I see an Example? Active Learning the Long Tail of Attributes and RelationsBritish Machine Vision Conference (BMVC), 2022 Tyler L. Hayes Maximilian Nickel Christopher Kanan Ludovic Denoyer Arthur Szlam VLM 151 3 0 11 Mar 2022
Adversarial Examples for Extreme Multilabel Text Classification Mohammadreza Qaraei Rohit Babbar 149 8 0 14 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 215 6 0 01 Dec 2021
Deep Long-Tailed Learning: A SurveyIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Yifan Zhang Bingyi Kang Bryan Hooi Shuicheng Yan Jiashi Feng VLM 279 735 0 09 Oct 2021
Robust Long-Tailed Learning under Label Noise Tong Wei Jiang-Xin Shi Wei-Wei Tu Yu-Feng Li NoLa 162 57 0 26 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Lin Wang Navid Kardan M. Shah AAML 454 296 0 01 Aug 2021
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation Tai-Yu Pan Cheng Zhang Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao 287 51 0 05 Jul 2021
From Distributed Machine Learning to Federated Learning: A SurveyKnowledge and Information Systems (KAIS), 2021 Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 252 313 0 29 Apr 2021
FaceGuard: A Self-Supervised Defense Against Adversarial Face ImagesIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2020 Debayan Deb Xiaoming Liu Anil K. Jain CVBM AAML PICV 232 31 0 28 Nov 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks Linhai Ma Liang Liang AAML 794 21 0 19 May 2020
Identifying and Compensating for Feature Deviation in Imbalanced Deep Learning Han-Jia Ye Hong-You Chen De-Chuan Zhan Wei-Lun Chao 385 113 0 06 Jan 2020