Towards Frequency-Based Explanation for Robust CNN

6 May 2020

Papers citing "Towards Frequency-Based Explanation for Robust CNN"

29 / 29 papers shown

Title
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 42 0 0 16 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 57 4 0 30 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 60 4 0 30 Jul 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 39 0 0 16 Apr 2024
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 47 9 0 16 Jan 2024
DAD++: Improved Data-free Test Time Adversarial Defense Gaurav Kumar Nayak Inder Khatri Shubham Randive Ruchit Rawal Anirban Chakraborty AAML 23 1 0 10 Sep 2023
HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness M. K. Yucel R. G. Cinbis Pinar Duygulu AAML 43 10 0 21 Jul 2023
A Spectral Perspective towards Understanding and Improving Adversarial Robustness Binxiao Huang Rui Lin Chaofan Tao Ngai Wong AAML 42 0 0 25 Jun 2023
Generalizable Deepfake Detection with Phase-Based Motion Analysis Ekta Prashnani Michael Goebel B. S. Manjunath 35 4 0 17 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 24 2 0 03 Nov 2022
Learning to Augment via Implicit Differentiation for Domain Generalization Ting-Hsiang Wang Da Li Kaiyang Zhou Tao Xiang Yi-Zhe Song 19 0 0 25 Oct 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 26 154 0 12 Jul 2022
Low-Mid Adversarial Perturbation against Unauthorized Face Recognition System Jiaming Zhang Qiaomin Yi Dongyuan Lu Jitao Sang PICV AAML CVBM 20 4 0 19 Jun 2022
Revisiting the Shape-Bias of Deep Learning for Dermoscopic Skin Lesion Classification Adriano Lucieri Fabian Schmeisser Christoph Balada Shoaib Ahmed Siddiqui Andreas Dengel Sheraz Ahmed 22 3 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 17 2 0 05 May 2022
Understanding robustness and generalization of artificial neural networks through Fourier masks Nikos Karantzas E. Besier J. O. Caro Xaq Pitkow A. Tolias Ankit B. Patel Fabio Anselmi OOD AAML 9 5 0 16 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 16 12 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 53 113 0 07 Dec 2021
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? Lijie Fan Sijia Liu Pin-Yu Chen Gaoyuan Zhang Chuang Gan AAML VLM 19 118 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 23 39 0 26 Oct 2021
Fourier Transform Approximation as an Auxiliary Task for Image Classification Chen Liu 27 0 0 22 Jun 2021
Impact of Spatial Frequency Based Constraints on Adversarial Robustness Rémi Bernhard Pierre-Alain Moëllic Martial Mermillod Yannick Bourrier Romain Cohendet M. Solinas M. Reyboz AAML 24 17 0 26 Apr 2021
Learning Frequency Domain Approximation for Binary Neural Networks Yixing Xu Kai Han Chang Xu Yehui Tang Chunjing Xu Yunhe Wang MQ 22 54 0 01 Mar 2021
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 23 6 0 07 Dec 2020
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation Nikhil Kapoor Andreas Bär Serin Varghese Jan David Schneider Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 16 10 0 02 Dec 2020
Robust Data Hiding Using Inverse Gradient Attention Honglei Zhang Hu Wang Yuanzhouhan Cao Chunhua Shen Yidong Li AAML 9 14 0 21 Nov 2020
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 19 8 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 Fei Wu Xi Li CLL 31 98 0 28 Jun 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016