LRS: Enhancing Adversarial Transferability through Lipschitz Regularized
Surrogate

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

20 December 2023

Tao Wu

Papers citing "LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate"

8 / 8 papers shown

Title
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks Tao Wu Tie Luo AAML 82 0 0 26 Mar 2025
An Intermediate-level Attack Framework on The Basis of Linear Regression Yiwen Guo Qizhang Li W. Zuo Hao Chen 26 13 0 21 Mar 2022
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 68 192 0 31 Jan 2021
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,878 0 15 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 247 36,237 0 25 Aug 2016
You Only Look Once: Unified, Real-Time Object Detection Joseph Redmon S. Divvala Ross B. Girshick Ali Farhadi ObjD 281 36,178 0 08 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 232 75,445 0 18 May 2015
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 282 39,170 0 01 Sep 2014