Generalizable Black-Box Adversarial Attack with Meta Learning

Generalizable Black-Box Adversarial Attack with Meta Learning

1 January 2023

Yong Zhang

Yujiu Yang

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Papers citing "Generalizable Black-Box Adversarial Attack with Meta Learning"

19 / 19 papers shown

Title
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 74 0 0 23 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 92 0 0 02 Apr 2025
Do computer vision foundation models learn the low-level characteristics of the human visual system? Yancheng Cai Fei Yin Dounia Hammou Rafal Mantiuk VLM Presented at ResearchTrend Connect \| VLM on 14 Mar 2025 222 2 0 13 Mar 2025
Class-Conditional Neural Polarizer: A Lightweight and Effective Backdoor Defense by Purifying Poisoned Features Mingli Zhu Shaokui Wei Hongyuan Zha Baoyuan Wu AAML 119 0 0 23 Feb 2025
Model Mimic Attack: Knowledge Distillation for Provably Transferable Adversarial Examples Kirill Lukyanov Andrew Perminov D. Turdakov Mikhail Pautov AAML 53 2 0 21 Oct 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 163 1 0 06 Sep 2024
Attack Anything: Blind DNNs via Universal Background Adversarial Attack Jiawei Lian Shaohui Mei Xiaofei Wang Yi Wang Lefan Wang Yingjie Lu Mingyang Ma Lap-Pui Chau AAML 76 1 0 17 Aug 2024
DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain Jun Liu Jiantao Zhou Jiandian Zeng Jinyu Tian Zheng Li 82 0 0 05 Jun 2024
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior Shuyu Cheng Yibo Miao Yinpeng Dong Xiao Yang Xiao-Shan Gao Jun Zhu AAML 99 5 0 29 May 2024
Towards Robust Physical-world Backdoor Attacks on Lane Detection Xinwei Zhang Aishan Liu Tianyuan Zhang Siyuan Liang Xianglong Liu AAML 123 13 0 09 May 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario Renyang Liu Kwok-Yan Lam Wei Zhou Sixing Wu Jun Zhao Dongting Hu Mingming Gong AAML 104 0 0 30 Mar 2024
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks Ping Guo Fei Liu Xi Lin Qingchuan Zhao Qingfu Zhang 103 5 0 27 Jan 2024
BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks Meixi Zheng Xuanchen Yan Zihao Zhu Hongrui Chen Baoyuan Wu ELM MLAU AAML 95 8 0 28 Dec 2023
Boosting Black-box Attack to Deep Neural Networks with Conditional Diffusion Models Renyang Liu Wei Zhou Tianwei Zhang Kangjie Chen Jun Zhao Kwok-Yan Lam 52 10 0 11 Oct 2023
DifAttack: Query-Efficient Black-Box Attack via Disentangled Feature Space Liu Jun Jiantao Zhou Jiandian Zeng Jinyu Tian 46 1 0 26 Sep 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 85 1 0 24 Jul 2023
A Comprehensive Study on the Robustness of Image Classification and Object Detection in Remote Sensing: Surveying and Benchmarking Shaohui Mei Jiawei Lian Xiaofei Wang Yuru Su Mingyang Ma Lap-Pui Chau AAML 126 12 0 21 Jun 2023
Certified Zeroth-order Black-Box Defense with Robust UNet Denoiser Astha Verma A. Subramanyam Siddhesh Bangar Naman Lal R. Shah Shiníchi Satoh 113 5 0 13 Apr 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective Baoyuan Wu Zihao Zhu Li Liu Qingshan Liu Zhaofeng He Siwei Lyu AAML 112 23 0 19 Feb 2023