Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2505.21181
Cited By
Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion
27 May 2025
Yayin Zheng
Chen Wan
Zihong Guo
Hailing Kuang
Xiaohai Lu
AAML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Boosting Adversarial Transferability via High-Frequency Augmentation and Hierarchical-Gradient Fusion"
17 / 17 papers shown
Title
Robust and Imperceptible Black-box DNN Watermarking Based on Fourier Perturbation Analysis and Frequency Sensitivity Clustering
Yong-Jin Liu
Hanzhou Wu
Xinpeng Zhang
AAML
55
9
0
08 Aug 2022
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
80
164
0
12 Jul 2022
Admix: Enhancing the Transferability of Adversarial Attacks
Xiaosen Wang
Xu He
Jingdong Wang
Kun He
AAML
123
201
0
31 Jan 2021
A Self-supervised Approach for Adversarial Robustness
Muzammal Naseer
Salman Khan
Munawar Hayat
Fahad Shahbaz Khan
Fatih Porikli
AAML
74
260
0
08 Jun 2020
A Fourier Perspective on Model Robustness in Computer Vision
Dong Yin
Raphael Gontijo-Lopes
Jonathon Shlens
E. D. Cubuk
Justin Gilmer
OOD
81
501
0
21 Jun 2019
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
61
524
0
28 May 2019
Interpreting Adversarially Trained Convolutional Neural Networks
Tianyuan Zhang
Zhanxing Zhu
AAML
GAN
FAtt
102
161
0
23 May 2019
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie
Zhishuai Zhang
Yuyin Zhou
Song Bai
Jianyu Wang
Zhou Ren
Alan Yuille
AAML
106
1,125
0
19 Mar 2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Zihao Liu
Qi Liu
Tao Liu
Nuo Xu
Xue Lin
Yanzhi Wang
Wujie Wen
AAML
MQ
56
262
0
14 Mar 2018
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
83
887
0
08 Dec 2017
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
113
1,061
0
06 Nov 2017
Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
177
2,728
0
19 May 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
472
3,147
0
04 Nov 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
381
14,260
0
23 Feb 2016
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
883
27,412
0
02 Dec 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
1.7K
39,590
0
01 Sep 2014
1