On the Effectiveness of Low Frequency Perturbations

28 February 2019

Papers citing "On the Effectiveness of Low Frequency Perturbations"

30 / 30 papers shown

Title
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 39 1 0 06 May 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
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 20 9 0 11 Dec 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 35 19 0 15 Nov 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 25 5 0 13 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks Xinjie Dong Rui Wang Siyuan Liang Aishan Liu Lihua Jing AAML PICV 26 8 0 11 Aug 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 31 1 0 15 May 2023
Fourier Sensitivity and Regularization of Computer Vision Models K. Krishnamachari See-Kiong Ng Chuan-Sheng Foo OOD 31 2 0 31 Jan 2023
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 24 4 0 20 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 26 154 0 12 Jul 2022
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? Alvin Chan Yew-Soon Ong Clement Tan AAML 24 13 0 09 May 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection Shuai Jia Chao Ma Taiping Yao Bangjie Yin Shouhong Ding Xiaokang Yang AAML 29 62 0 29 Mar 2022
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity Cheng Luo Qinliang Lin Weicheng Xie Bizhu Wu Jinheng Xie Linlin Shen AAML 36 100 0 10 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 30 21 0 09 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
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 24 2 0 01 Nov 2021
Calibrated Adversarial Training Tianjin Huang Vlado Menkovski Yulong Pei Mykola Pechenizkiy AAML 51 3 0 01 Oct 2021
AdvDrop: Adversarial Attack to DNNs by Dropping Information Ranjie Duan YueFeng Chen Dantong Niu Yun Yang •. A. K. Qin Yuan He AAML 24 89 0 20 Aug 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 15 56 0 07 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 31 43 0 03 Jun 2021
High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang Xiao Wang Pin-Yu Chen Pu Zhao Xue Lin AAML 32 2 0 14 May 2021
Deep Image Destruction: Vulnerability of Deep Image-to-Image Models against Adversarial Attacks Jun-Ho Choi Huan Zhang Jun-Hyuk Kim Cho-Jui Hsieh Jong-Seok Lee VLM 24 7 0 30 Apr 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
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 29 48 0 19 Oct 2020
Towards Frequency-Based Explanation for Robust CNN Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding AAML FAtt 13 47 0 06 May 2020
Learning to fool the speaker recognition Jiguo Li Xinfeng Zhang Jizheng Xu Li Zhang Y. Wang Siwei Ma Wen Gao AAML 30 21 0 07 Apr 2020
BlurNet: Defense by Filtering the Feature Maps Ravi Raju Mikko H. Lipasti AAML 36 15 0 06 Aug 2019
MMA Training: Direct Input Space Margin Maximization through Adversarial Training G. Ding Yash Sharma Kry Yik-Chau Lui Ruitong Huang AAML 16 270 0 06 Dec 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016