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2005.03141
Cited By
Towards Frequency-Based Explanation for Robust CNN
6 May 2020
Zifan Wang
Yilin Yang
Ankit Shrivastava
Varun Rawal
Zihao Ding
AAML
FAtt
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Papers citing
"Towards Frequency-Based Explanation for Robust CNN"
30 / 30 papers shown
Disrupting Semantic and Abstract Features for Better Adversarial Transferability
Yuyang Luo
Xiaosen Wang
Zhijin Ge
Yingzhe He
AAML
227
2
0
21 Jul 2025
DFT-Based Adversarial Attack Detection in MRI Brain Imaging: Enhancing Diagnostic Accuracy in Alzheimer's Case Studies
Mohammad Hossein Najafi
Mohammad Morsali
Mohammadmahdi Vahediahmar
Saeed Bagheri Shouraki
AAML
MedIm
340
2
0
16 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
410
12
0
30 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
European Conference on Computer Vision (ECCV), 2024
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAML
VLM
603
10
0
30 Jul 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency
Zhun Zhang
Yi Zeng
Qihe Liu
Shijie Zhou
AAML
306
3
0
16 Apr 2024
Bag of Tricks to Boost Adversarial Transferability
Zeliang Zhang
Rongyi Zhu
Wei Yao
Xiaosen Wang
Chenliang Xu
AAML
416
13
0
16 Jan 2024
DAD++: Improved Data-free Test Time Adversarial Defense
Gaurav Kumar Nayak
Inder Khatri
Shubham Randive
Ruchit Rawal
Anirban Chakraborty
AAML
334
3
0
10 Sep 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness
IEEE International Conference on Computer Vision (ICCV), 2023
M. K. Yucel
R. G. Cinbis
Pinar Duygulu
AAML
305
15
0
21 Jul 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness
Binxiao Huang
Rui Lin
Chaofan Tao
Ngai Wong
AAML
157
0
0
25 Jun 2023
Generalizable Deepfake Detection with Phase-Based Motion Analysis
IEEE Transactions on Image Processing (IEEE TIP), 2022
Ekta Prashnani
Michael Goebel
B. S. Manjunath
296
19
0
17 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Gaurav Kumar Nayak
Ruchit Rawal
Inder Khatri
Anirban Chakraborty
AAML
157
5
0
03 Nov 2022
Learning to Augment via Implicit Differentiation for Domain Generalization
British Machine Vision Conference (BMVC), 2022
Ting-Hsiang Wang
Da Li
Kaiyang Zhou
Tao Xiang
Yi-Zhe Song
180
2
0
25 Oct 2022
Frequency Domain Model Augmentation for Adversarial Attack
European Conference on Computer Vision (ECCV), 2022
Yuyang Long
Qi-li Zhang
Boheng Zeng
Lianli Gao
Xianglong Liu
Jian Zhang
Jingkuan Song
AAML
354
247
0
12 Jul 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System
Information Sciences (Inf. Sci.), 2022
Jiaming Zhang
Qiaomin Yi
Dongyuan Lu
Jitao Sang
PICV
AAML
CVBM
192
6
0
19 Jun 2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification
Annual Conference on Medical Image Understanding and Analysis (MIUA), 2022
Adriano Lucieri
Fabian Schmeisser
Christoph Balada
Shoaib Ahmed Siddiqui
Andreas Dengel
Sheraz Ahmed
192
5
0
13 Jun 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems
Gaurav Kumar Nayak
Ruchit Rawal
Rohit Lal
Himanshu Patil
Anirban Chakraborty
AAML
207
2
0
05 May 2022
DAD: Data-free Adversarial Defense at Test Time
Gaurav Kumar Nayak
Ruchit Rawal
Anirban Chakraborty
AAML
252
14
0
04 Apr 2022
Understanding robustness and generalization of artificial neural networks through Fourier masks
Frontiers in Artificial Intelligence (FAI), 2022
Nikos Karantzas
E. Besier
J. O. Caro
Xaq Pitkow
A. Tolias
Ankit B. Patel
Fabio Anselmi
OOD
AAML
186
7
0
16 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis
PLoS ONE (PLoS ONE), 2022
Hanieh Naderi
Kimia Noorbakhsh
Arian Etemadi
S. Kasaei
AAML
379
16
0
23 Feb 2022
TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning
Yang Liu
Keze Wang
Lingbo Liu
Hao Lan
Liang Lin
SSL
AI4TS
359
149
0
07 Dec 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?
Neural Information Processing Systems (NeurIPS), 2021
Lijie Fan
Sijia Liu
Pin-Yu Chen
Gaoyuan Zhang
Chuang Gan
AAML
VLM
314
139
0
01 Nov 2021
A Frequency Perspective of Adversarial Robustness
Shishira R. Maiya
Max Ehrlich
Vatsal Agarwal
Ser-Nam Lim
Tom Goldstein
Abhinav Shrivastava
AAML
221
46
0
26 Oct 2021
Fourier Transform Approximation as an Auxiliary Task for Image Classification
Chen Liu
290
1
0
22 Jun 2021
Impact of Spatial Frequency Based Constraints on Adversarial Robustness
IEEE International Joint Conference on Neural Network (IJCNN), 2021
Rémi Bernhard
Pierre-Alain Moëllic
Martial Mermillod
Yannick Bourrier
Romain Cohendet
M. Solinas
M. Reyboz
AAML
363
18
0
26 Apr 2021
Learning Frequency Domain Approximation for Binary Neural Networks
Neural Information Processing Systems (NeurIPS), 2021
Yixing Xu
Kai Han
Chang Xu
Yehui Tang
Chunjing Xu
Yunhe Wang
MQ
423
63
0
01 Mar 2021
A Singular Value Perspective on Model Robustness
Malhar Jere
Maghav Kumar
F. Koushanfar
AAML
267
7
0
07 Dec 2020
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation
IEEE International Joint Conference on Neural Network (IJCNN), 2020
Nikhil Kapoor
Andreas Bär
Serin Varghese
Jan David Schneider
Fabian Hüger
Peter Schlicht
Tim Fingscheidt
AAML
225
10
0
02 Dec 2020
Robust Data Hiding Using Inverse Gradient Attention
Honglei Zhang
Hu Wang
Yuanzhouhan Cao
Chunhua Shen
Yidong Li
AAML
214
20
0
21 Nov 2020
Human-interpretable model explainability on high-dimensional data
Damien de Mijolla
Christopher Frye
M. Kunesch
J. Mansir
Ilya Feige
FAtt
238
14
0
14 Oct 2020
MgSvF: Multi-Grained Slow vs. Fast Framework for Few-Shot Class-Incremental Learning
Hanbin Zhao
Yongjian Fu
Mintong Kang
Qi Tian
Leilei Gan
Xi Li
CLL
643
143
0
28 Jun 2020
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