$$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training$

$\ell_\infty$ -Robustness and Beyond: Unleashing Efficient Adversarial Training

1 December 2021

H. M. Dolatabadi

Papers citing "$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training"

10 / 10 papers shown

Title
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 53 0 0 02 Mar 2025
Model-Free Adversarial Purification via Coarse-To-Fine Tensor Network Representation Guang Lin D. Nguyen Zerui Tao Konstantinos Slavakis Toshihisa Tanaka Qibin Zhao AAML 69 0 0 25 Feb 2025
LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models Hossein Khalili Seongbin Park Vincent Li Brandan Bright Ali Payani Ramana Rao Kompella Nader Sehatbakhsh AAML 50 1 0 31 Aug 2024
Adversarial Guided Diffusion Models for Adversarial Purification Guang Lin Zerui Tao Jianhai Zhang Toshihisa Tanaka Qibin Zhao 40 6 0 24 Mar 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 44 13 0 29 Jan 2024
Defenses in Adversarial Machine Learning: A Survey Baoyuan Wu Shaokui Wei Mingli Zhu Meixi Zheng Zihao Zhu Ruotong Wang Hongrui Chen Danni Yuan Li Liu Qingshan Liu AAML 37 14 0 13 Dec 2023
Spanning Training Progress: Temporal Dual-Depth Scoring (TDDS) for Enhanced Dataset Pruning Xin Zhang Jiawei Du Yunsong Li Weiying Xie Qiufeng Wang 42 8 0 22 Nov 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 36 1 0 10 Mar 2023
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 221 424 0 16 May 2022
GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training Krishnateja Killamsetty D. Sivasubramanian Ganesh Ramakrishnan A. De Rishabh K. Iyer OOD 94 191 0 27 Feb 2021