Rethinking Model Ensemble in Transfer-based Adversarial Attacks

16 March 2023

Yinpeng Dong

Papers citing "Rethinking Model Ensemble in Transfer-based Adversarial Attacks"

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Title
Towards more transferable adversarial attack in black-box manner Chun Tong Lei Zhongliang Guo Hon Chung Lee Minh Quoc Duong Chun Pong Lau DiffM AAML 468 0 0 23 May 2025
Manipulating Multimodal Agents via Cross-Modal Prompt Injection Le Wang Zonghao Ying Tianyuan Zhang Siyuan Liang Shengshan Hu Mingchuan Zhang A. Liu Xianglong Liu AAML 120 2 0 19 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 72 0 0 02 Mar 2025
A Transfer Attack to Image Watermarks Yuepeng Hu Zhengyuan Jiang Moyang Guo Neil Zhenqiang Gong 126 13 0 20 Feb 2025
Elucidating the Design Space of Dataset Condensation Shitong Shao Zikai Zhou Huanran Chen Zhiqiang Shen DD 106 9 0 20 Jan 2025
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 81 3 0 09 Oct 2024
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 124 1 0 06 Sep 2024
Adversarial Attacks on Both Face Recognition and Face Anti-spoofing Models Fengfan Zhou Qianyu Zhou Hefei Ling Xuequan Lu AAML 96 3 0 27 May 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 124 2 0 27 Feb 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training Yihao Zhang Hangzhou He Jingyu Zhu Huanran Chen Yifei Wang Zeming Wei AAML 87 14 0 23 Feb 2024
Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations Zeming Wei Yifei Wang Ang Li Yichuan Mo Yisen Wang 84 271 0 10 Oct 2023
How Robust is Google's Bard to Adversarial Image Attacks? Yinpeng Dong Huanran Chen Jiawei Chen Zhengwei Fang Xiaohu Yang Yichi Zhang Yu Tian Hang Su Jun Zhu AAML 57 113 0 21 Sep 2023
Sharpness-Aware Minimization Alone can Improve Adversarial Robustness Zeming Wei Jingyu Zhu Yihao Zhang AAML 53 11 0 09 May 2023
CFA: Class-wise Calibrated Fair Adversarial Training Zeming Wei Yifei Wang Yiwen Guo Yisen Wang AAML 72 53 0 25 Mar 2023
To Make Yourself Invisible with Adversarial Semantic Contours Yichi Zhang Zijian Zhu Hang Su Jun Zhu Shibao Zheng Yuan He H. Xue AAML 59 4 0 01 Mar 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models Junnan Li Dongxu Li Silvio Savarese Steven C. H. Hoi VLM MLLM 424 4,550 0 30 Jan 2023
T-SEA: Transfer-based Self-Ensemble Attack on Object Detection Hao Huang Ziyan Chen Huanran Chen Yongtao Wang Ke-Yue Zhang AAML 76 59 0 16 Nov 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin Yanbo Fan Yi Liu Li Shen Yong Zhang Jue Wang Baoyuan Wu AAML SILM 53 84 0 12 Oct 2022
Bootstrap Generalization Ability from Loss Landscape Perspective Huanran Chen Shitong Shao Ziyi Wang Zirui Shang Jin Chen Xiaofeng Ji Xinxiao Wu OOD 80 19 0 18 Sep 2022
A Light Recipe to Train Robust Vision Transformers Edoardo Debenedetti Vikash Sehwag Prateek Mittal ViT 72 71 0 15 Sep 2022
Frequency Domain Model Augmentation for Adversarial Attack Yuyang Long Qi-li Zhang Boheng Zeng Lianli Gao Xianglong Liu Jian Zhang Jingkuan Song AAML 78 164 0 12 Jul 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 250 441 0 16 May 2022
MaxViT: Multi-Axis Vision Transformer Zhengzhong Tu Hossein Talebi Han Zhang Feng Yang P. Milanfar A. Bovik Yinxiao Li ViT 109 661 0 04 Apr 2022
A ConvNet for the 2020s Zhuang Liu Hanzi Mao Chaozheng Wu Christoph Feichtenhofer Trevor Darrell Saining Xie ViT 159 5,167 0 10 Jan 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong Jiadong Lin Min Zhang John E. Hopcroft Kun He AAML 78 114 0 21 Nov 2021
TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness Zhuolin Yang Linyi Li Xiaojun Xu Shiliang Zuo Qiang Chen Benjamin I. P. Rubinstein Pan Zhou Ce Zhang Yue Liu AAML 108 55 0 01 Apr 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 84 392 0 29 Mar 2021
On Generating Transferable Targeted Perturbations Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 66 74 0 26 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 441 21,418 0 25 Mar 2021
Boosting Adversarial Transferability through Enhanced Momentum Xiaosen Wang Jiadong Lin Han Hu Jingdong Wang Kun He AAML 81 77 0 19 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 903 29,372 0 26 Feb 2021
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks Jungmin Kwon Jeongseop Kim Hyunseong Park I. Choi 86 290 0 23 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 632 41,003 0 22 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 316 702 0 19 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 184 1,349 0 03 Oct 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 65 424 0 16 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 54 141 0 14 Jul 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 69 260 0 08 Jun 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection Alexey Bochkovskiy Chien-Yao Wang H. Liao VLM ObjD 156 12,268 0 23 Apr 2020
Designing Network Design Spaces Ilija Radosavovic Raj Prateek Kosaraju Ross B. Girshick Kaiming He Piotr Dollár GNN 100 1,682 0 30 Mar 2020
Loss landscapes and optimization in over-parameterized non-linear systems and neural networks Chaoyue Liu Libin Zhu M. Belkin ODL 68 262 0 29 Feb 2020
Fast is better than free: Revisiting adversarial training Eric Wong Leslie Rice J. Zico Kolter AAML OOD 138 1,177 0 12 Jan 2020
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 66 569 0 17 Aug 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 137 18,115 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 343 6,778 0 06 May 2019
Fooling automated surveillance cameras: adversarial patches to attack person detection Simen Thys W. V. Ranst Toon Goedemé AAML 104 569 0 18 Apr 2019
Every Local Minimum Value is the Global Minimum Value of Induced Model in Non-convex Machine Learning Kenji Kawaguchi Jiaoyang Huang L. Kaelbling AAML 58 18 0 07 Apr 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks Yinpeng Dong Tianyu Pang Hang Su Jun Zhu SILM AAML 85 847 0 05 Apr 2019
Certified Adversarial Robustness via Randomized Smoothing Jeremy M. Cohen Elan Rosenfeld J. Zico Kolter AAML 144 2,038 0 08 Feb 2019
Normalized Flat Minima: Exploring Scale Invariant Definition of Flat Minima for Neural Networks using PAC-Bayesian Analysis Yusuke Tsuzuku Issei Sato Masashi Sugiyama 58 76 0 15 Jan 2019