A Frequency Perspective of Adversarial Robustness

26 October 2021

Ser-Nam Lim

Papers citing "A Frequency Perspective of Adversarial Robustness"

22 / 22 papers shown

Title
Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei Ke Ma Yingfei Sun Qianqian Xu Qingming Huang DiffM 105 0 0 02 May 2025
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 71 1 0 16 Oct 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 114 0 0 27 Sep 2024
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 110 0 0 16 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 70 1 0 02 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 147 5 0 30 Jul 2024
On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models H. Malik Numan Saeed Asif Hanif Muzammal Naseer Mohammad Yaqub Salman Khan Fahad Shahbaz Khan 114 1 0 12 Jun 2024
Robust width: A lightweight and certifiable adversarial defense Jonathan Peck Bart Goossens AAML 82 2 0 24 May 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 72 0 0 16 Apr 2024
Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay Yuhang Zhou Zhongyun Hua AAML CLL 96 4 0 02 Apr 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 82 9 0 11 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context Shashank Agnihotri Julia Grabinski Margret Keuper 91 6 0 29 Nov 2023
Spatial-frequency channels, shape bias, and adversarial robustness Ajay Subramanian E. Sizikova N. Majaj D. Pelli AAML 96 22 0 22 Sep 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 93 10 0 19 Jul 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 87 0 0 25 Jun 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 71 1 0 15 May 2023
An Extended Study of Human-like Behavior under Adversarial Training Paul Gavrikov J. Keuper Margret Keuper AAML 74 9 0 22 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 119 85 0 28 Feb 2023
Generalizable Deepfake Detection with Phase-Based Motion Analysis Ekta Prashnani Michael Goebel B. S. Manjunath 79 6 0 17 Nov 2022
Testing predictions of representation cost theory with CNNs Charles Godfrey Elise Bishoff Myles Mckay Davis Brown Grayson Jorgenson Henry Kvinge E. Byler 94 0 0 03 Oct 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo Qinliang Lin Weicheng Xie Bizhu Wu Jinheng Xie Linlin Shen AAML 148 105 0 10 Mar 2022
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples J. O. Caro Yilong Ju Ryan Pyle Sourav Dey Wieland Brendel Fabio Anselmi Ankit B. Patel AAML 79 11 0 19 Jun 2020