Revisiting Adversarial Training under Long-Tailed Distributions

Revisiting Adversarial Training under Long-Tailed Distributions

15 March 2024

Papers citing "Revisiting Adversarial Training under Long-Tailed Distributions"

10 / 10 papers shown

Title
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution Songran Bai Yuheng Ji Yue Liu Xingwei Zhang Xiaolong Zheng D. Zeng 41 0 0 01 Apr 2025
From Head to Tail: Efficient Black-box Model Inversion Attack via Long-tailed Learning Ziang Li Hongguang Zhang Juan Wang Meihui Chen Hongxin Hu Wenzhe Yi Xiaoyang Xu Mengda Yang Chenjun Ma 51 0 0 20 Mar 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 43 0 0 10 Mar 2025
Long-tailed Adversarial Training with Self-Distillation Seungju Cho Hongsin Lee Changick Kim AAML TTA 77 0 0 09 Mar 2025
TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions Wang YuHang Junkang Guo Aolei Liu Kaihao Wang Zaitong Wu Zhenyu Liu Wenfei Yin Jian Liu AAML 43 0 0 02 Mar 2025
A Systematic Review on Long-Tailed Learning Chongsheng Zhang G. Almpanidis Gaojuan Fan Binquan Deng Yanbo Zhang Ji Liu Aouaidjia Kamel Paolo Soda Joao Gama 25 6 0 01 Aug 2024
Efficient and Effective Augmentation Strategy for Adversarial Training Sravanti Addepalli Samyak Jain R. Venkatesh Babu AAML 55 57 0 27 Oct 2022
Towards Calibrated Model for Long-Tailed Visual Recognition from Prior Perspective Zhengzhuo Xu Zenghao Chai Chun Yuan 49 51 0 06 Nov 2021
Balanced Meta-Softmax for Long-Tailed Visual Recognition Jiawei Ren Cunjun Yu Shunan Sheng Xiao Ma Haiyu Zhao Shuai Yi Hongsheng Li 157 541 0 21 Jul 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 151 113 0 05 Mar 2020