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Low Frequency Adversarial Perturbation

24 September 2018

Papers citing "Low Frequency Adversarial Perturbation"

50 / 92 papers shown

Title
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 85 0 0 15 Apr 2025
Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis Wenwei Gu Renyi Zhong Jianping Zhang Michael R. Lyu AAML 91 0 0 25 Mar 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 114 0 0 17 Mar 2025
Nearly Zero-Cost Protection Against Mimicry by Personalized Diffusion Models Namhyuk Ahn Kiyoon Yoo Wonhyuk Ahn Daesik Kim Seung-Hun Nam AAML WIGM DiffM 192 0 0 16 Dec 2024
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm Dazhuang Liu Yanqi Qiao Rui Wang K. Liang Georgios Smaragdakis AAML 159 0 0 28 Nov 2024
Low-Rank Adversarial PGD Attack Dayana Savostianova Emanuele Zangrando Francesco Tudisco AAML 66 1 0 16 Oct 2024
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Xinyi Wang Yiyun Huang Huaming Chen AAML 81 1 0 22 Aug 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 98 0 0 16 Aug 2024
Training Spatial-Frequency Visual Prompts and Probabilistic Clusters for Accurate Black-Box Transfer Learning Wonwoo Cho Kangyeol Kim Saemee Choi Jaegul Choo VLM 108 0 0 15 Aug 2024
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML 137 5 0 30 Jul 2024
Query-Efficient Hard-Label Black-Box Attack against Vision Transformers Chao Zhou Xiaowen Shi Yuan-Gen Wang ViT AAML 79 0 0 29 Jun 2024
Towards a Novel Perspective on Adversarial Examples Driven by Frequency Zhun Zhang Yi Zeng Qihe Liu Shijie Zhou AAML 57 0 0 16 Apr 2024
Imperceptible Protection against Style Imitation from Diffusion Models Namhyuk Ahn Wonhyuk Ahn Kiyoon Yoo Daesik Kim Seung-Hun Nam WIGM AAML DiffM 84 6 0 28 Mar 2024
Resilience of Entropy Model in Distributed Neural Networks Milin Zhang Mohammad Abdi Shahriar Rifat Francesco Restuccia AAML 81 0 0 01 Mar 2024
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm Yanqi Qiao Dazhuang Liu Rui Wang Kaitai Liang AAML 60 1 0 23 Feb 2024
Robustness and Exploration of Variational and Machine Learning Approaches to Inverse Problems: An Overview Alexander Auras Kanchana Vaishnavi Gandikota Hannah Droege Michael Moeller AAML 72 0 0 19 Feb 2024
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack Zhongliang Guo Junhao Dong Yifei Qian Kaixuan Wang Weiye Li Ziheng Guo Yuheng Wang Yanli Li Ognjen Arandjelović Lei Fang AAML 96 11 0 18 Jan 2024
GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model Zhiyu Zhu Huaming Chen Xinyi Wang Jiayu Zhang Zhibo Jin Kim-Kwang Raymond Choo Jun Shen Dong Yuan 52 8 0 11 Jan 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation Shangbo Wu Yu-an Tan Yajie Wang Ruinan Ma Wencong Ma Yuan-zhang Li AAML 80 9 0 11 Dec 2023
Frequency Domain-based Dataset Distillation DongHyeok Shin Seungjae Shin Il-Chul Moon DD 102 19 0 15 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations Kunyu Wang Juluan Shi Wenxuan Wang AAML 69 6 0 31 Oct 2023
Understanding the robustness difference between stochastic gradient descent and adaptive gradient methods A. Ma Yangchen Pan Amir-massoud Farahmand AAML 68 7 0 13 Aug 2023
Phase Matching for Out-of-Distribution Generalization Chengming Hu Ye Du Rui Wang Hao Chen OOD 73 0 0 24 Jul 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness Chun Yang Tan K. Kawamoto Hiroshi Kera AAML OOD 61 1 0 15 May 2023
Frequency Decomposition to Tap the Potential of Single Domain for Generalization Qing-sheng Yang Hongjing Niu Pengfei Xia Wei Zhang Bin Li OOD 72 0 0 14 Apr 2023
Robustmix: Improving Robustness by Regularizing the Frequency Bias of Deep Nets Jonas Ngnawé Marianne Abémgnigni Njifon Jonathan Heek Yann N. Dauphin OOD 42 5 0 06 Apr 2023
How many dimensions are required to find an adversarial example? Charles Godfrey Henry Kvinge Elise Bishoff Myles Mckay Davis Brown T. Doster E. Byler AAML 82 5 0 24 Mar 2023
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution Detection Nikolas Adaloglou Félix D. P. Michels Tim Kaiser M. Kollmann VLM 67 0 0 10 Mar 2023
Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression Zhuoran Liu Zhengyu Zhao Martha Larson 93 37 0 31 Jan 2023
Similarity of Neural Architectures using Adversarial Attack Transferability Ian Ryu Dongyoon Han Byeongho Heo Song Park Sanghyuk Chun Jong-Seok Lee AAML 136 2 0 20 Oct 2022
Testing predictions of representation cost theory with CNNs Charles Godfrey Elise Bishoff Myles Mckay Davis Brown Grayson Jorgenson Henry Kvinge E. Byler 80 0 0 03 Oct 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 45 6 0 20 Aug 2022
Interactive Machine Learning: A State of the Art Review Natnael A. Wondimu Cédric Buche U. Visser VLM HAI 102 10 0 13 Jul 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 103 167 0 12 Jul 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 107 11 0 04 Jun 2022
Poisons that are learned faster are more effective Pedro Sandoval-Segura Vasu Singla Liam H. Fowl Jonas Geiping Micah Goldblum David Jacobs Tom Goldstein 89 17 0 19 Apr 2022
Exploring Frequency Adversarial Attacks for Face Forgery Detection Shuai Jia Chao Ma Taiping Yao Bangjie Yin Shouhong Ding Xiaokang Yang AAML 89 64 0 29 Mar 2022
Origins of Low-dimensional Adversarial Perturbations Elvis Dohmatob Chuan Guo Morgane Goibert AAML 74 4 0 25 Mar 2022
Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition Marie Biolková Bac Nguyen AAML 37 2 0 18 Mar 2022
Towards Robust 2D Convolution for Reliable Visual Recognition Lida Li Shuai Li Kun Wang Xiangchu Feng Lei Zhang 34 1 0 18 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 141 25 0 16 Mar 2022
Adversarial amplitude swap towards robust image classifiers Tan Yang K. Kawamoto Hiroshi Kera AAML 40 1 0 14 Mar 2022
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 62 60 0 13 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 152 21 0 09 Mar 2022
Art-Attack: Black-Box Adversarial Attack via Evolutionary Art P. Williams Ke Li AAML 59 2 0 07 Mar 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 76 14 0 23 Feb 2022
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 92 62 0 13 Dec 2021
A Review of Adversarial Attack and Defense for Classification Methods Yao Li Minhao Cheng Cho-Jui Hsieh T. C. Lee AAML 71 69 0 18 Nov 2021
Gradient Frequency Modulation for Visually Explaining Video Understanding Models Xinmiao Lin Wentao Bao Matthew Wright Yu Kong FAtt AAML 73 2 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 72 40 0 26 Oct 2021