Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting

11 December 2021

Papers citing "Improving the Transferability of Adversarial Examples with Resized-Diverse-Inputs, Diversity-Ensemble and Region Fitting"

43 / 43 papers shown

Title
A Simple DropConnect Approach to Transfer-based Targeted Attack Tongrui Su Qingbin Li Shengyu Zhu Wei Chen Xueqi Cheng AAML 69 0 0 24 Apr 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 70 0 0 08 Mar 2025
Improving Transferable Targeted Attacks with Feature Tuning Mixup K. Liang Xuelong Dai Yanjie Li Dong Wang Bin Xiao AAML 245 0 0 23 Nov 2024
PEAS: A Strategy for Crafting Transferable Adversarial Examples Bar Avraham Yisroel Mirsky AAML 36 0 0 20 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xuzhao Li 171 0 0 13 Oct 2024
Understanding Model Ensemble in Transferable Adversarial Attack Wei Yao Zeliang Zhang Huayi Tang Yong Liu 38 2 0 09 Oct 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao Biqing Qi Yao Li Zhichang Guo Dong Li Yuming Xing Dazhi Zhang AAML 44 6 0 08 Jun 2024
Enhancing Adversarial Transferability via Information Bottleneck Constraints Biqing Qi Junqi Gao Jianxing Liu Ligang Wu Bowen Zhou AAML 42 2 0 08 Jun 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 41 15 0 23 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 38 0 0 10 May 2024
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? Anjun Hu Jindong Gu Francesco Pinto Konstantinos Kamnitsas Philip Torr AAML SILM 45 5 0 19 Mar 2024
Investigating Deep Watermark Security: An Adversarial Transferability Perspective Biqing Qi Junqi Gao Yiang Luo Jianxing Liu Ligang Wu Bowen Zhou AAML 33 3 0 26 Feb 2024
Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size Junlin Liu Xinchen Lyu AAML 33 3 0 24 Jan 2024
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 36 23 0 08 Dec 2023
Improving Adversarial Transferability via Model Alignment A. Ma Amir-massoud Farahmand Yangchen Pan Philip Torr Jindong Gu AAML 36 5 0 30 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 68 3 0 20 Nov 2023
Improving Adversarial Transferability by Stable Diffusion Jiayang Liu Siyu Zhu Siyuan Liang Jie Zhang Han Fang Weiming Zhang Ee-Chien Chang AAML DiffM 32 11 0 18 Nov 2023
A Survey on Transferability of Adversarial Examples across Deep Neural Networks Jindong Gu Xiaojun Jia Pau de Jorge Wenqain Yu Xinwei Liu ... Anjun Hu Ashkan Khakzar Zhijiang Li Xiaochun Cao Philip Torr AAML 36 27 0 26 Oct 2023
SoK: Pitfalls in Evaluating Black-Box Attacks Fnu Suya Anshuman Suri Tingwei Zhang Jingtao Hong Yuan Tian David Evans AAML 44 6 0 26 Oct 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks Yanjie Li Bin Xie Songtao Guo Yuanyuan Yang Bin Xiao AAML 42 16 0 01 Oct 2023
Structure Invariant Transformation for better Adversarial Transferability Xiaosen Wang Zeliang Zhang Jianping Zhang AAML 24 60 0 26 Sep 2023
Reliable Evaluation of Adversarial Transferability Wenqian Yu Jindong Gu Zhijiang Li Philip Torr AAML 36 8 0 14 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 27 4 0 02 Jun 2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup Junyoung Byun Myung-Joon Kwon Seungju Cho Yoonji Kim Changick Kim AAML 33 17 0 24 May 2023
How to choose your best allies for a transferable attack? Thibault Maho Seyed-Mohsen Moosavi-Dezfooli Teddy Furon AAML 32 1 0 05 Apr 2023
Explainability and Robustness of Deep Visual Classification Models Jindong Gu AAML 49 2 0 03 Jan 2023
TextGrad: Advancing Robustness Evaluation in NLP by Gradient-Driven Optimization Bairu Hou Jinghan Jia Yihua Zhang Guanhua Zhang Yang Zhang Sijia Liu Shiyu Chang SILM AAML 24 21 0 19 Dec 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 29 20 0 17 Nov 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning Zhengwei Fang Rui Wang Tao Huang L. Jing AAML 40 5 0 24 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 37 156 0 12 Jul 2022
Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge Dingcheng Yang Zihao Xiao Wenjian Yu AAML 36 5 0 16 Jun 2022
Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input Junyoung Byun Seungju Cho Myung-Joon Kwon Heeseon Kim Changick Kim AAML DiffM 29 68 0 17 Mar 2022
Adversarial Attack via Dual-Stage Network Erosion Yexin Duan Junhua Zou Xingyu Zhou Wu Zhang Jin Zhang Zhisong Pan AAML SILM 35 5 0 01 Jan 2022
Adversarial Examples on Segmentation Models Can be Easy to Transfer Jindong Gu Hengshuang Zhao Volker Tresp Philip Torr AAML 41 14 0 22 Nov 2021
Exploring Transferable and Robust Adversarial Perturbation Generation from the Perspective of Network Hierarchy Ruikui Wang Yuanfang Guo Ruijie Yang Yunhong Wang AAML 17 3 0 16 Aug 2021
Meta Gradient Adversarial Attack Zheng Yuan Jie Zhang Yunpei Jia Chuanqi Tan Tao Xue Shiguang Shan AAML 54 78 0 09 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 41 236 0 01 Aug 2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout Pengfei Xie Linyuan Wang Ruoxi Qin Kai Qiao S. Shi Guoen Hu Bin Yan AAML 21 7 0 03 Jun 2021
Adversarial example generation with AdaBelief Optimizer and Crop Invariance Bo Yang Hengwei Zhang Yuchen Zhang Kaiyong Xu Jin-dong Wang AAML 27 29 0 07 Feb 2021
Admix: Enhancing the Transferability of Adversarial Attacks Xiaosen Wang Xu He Jingdong Wang Kun He AAML 86 193 0 31 Jan 2021
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example Jiayang Liu Weiming Zhang Kazuto Fukuchi Youhei Akimoto Jun Sakuma AAML 27 28 0 01 Nov 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 309 3,115 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 353 5,849 0 08 Jul 2016