Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

5 April 2019

Yinpeng Dong

Tianyu Pang

Hang Su

Jun Zhu

SILM

AAML

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Papers citing "Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks"

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Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks Zhibo Jin Jiayu Zhang Zhiyu Zhu Xinyi Wang Yiyun Huang Huaming Chen AAML 40 1 0 22 Aug 2024
Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors Fahad Shamshad Muzammal Naseer Karthik Nandakumar AAML PICV 36 1 0 20 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification Hanrui Wang Ruoxi Sun Cunjian Chen Minhui Xue Lay-Ki Soon Shuo Wang Zhe Jin DiffM AAML 39 2 0 20 Aug 2024
Enhancing Adversarial Transferability with Adversarial Weight Tuning Jiahao Chen Zhou Feng Rui Zeng Yuwen Pu Chunyi Zhou Yi Jiang Yuyou Gan Jinbao Li Shouling Ji AAML 43 0 0 18 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 46 1 0 14 Aug 2024
Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers Weijie Zheng Xingjun Ma Hanxun Huang Zuxuan Wu Yu-Gang Jiang AAML 37 0 0 03 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges Sazzad Sayyed Milin Zhang Shahriar Rifat A. Swami Michael De Lucia Francesco Restuccia 36 1 0 31 Jul 2024
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks Hunmin Yang Jongoh Jeong Kuk-Jin Yoon AAML VLM 60 4 0 30 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift Qingyuan Zeng Yunpeng Gong Min Jiang AAML 32 2 0 18 Jul 2024
Transferable Adversarial Facial Images for Privacy Protection Minghui Li Jiangxiong Wang Hao Zhang Ziqi Zhou Sheng-shou Hu Xiaobing Pei PICV AAML 46 8 0 18 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection Youheng Sun Shengming Yuan Xuanhan Wang Lianli Gao Jingkuan Song AAML 29 2 0 17 Jul 2024
CLIP-Guided Networks for Transferable Targeted Attacks Hao Fang Jiawei Kong Bin Chen Tao Dai Hao Wu Shu-Tao Xia AAML 68 4 0 14 Jul 2024
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles Dongfang Guo Yuting Wu Yimin Dai Pengfei Zhou Xin Lou Rui Tan 32 4 0 10 Jul 2024
Improving the Transferability of Adversarial Examples by Feature Augmentation Donghua Wang Wen Yao Tingsong Jiang Xiaohu Zheng Junqi Wu Xiaoqian Chen AAML 53 0 0 09 Jul 2024
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability Zijian Ying Qianmu Li Tao Wang Zhichao Lian Shunmei Meng Xuyun Zhang 33 0 0 02 Jul 2024
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks Zhiyu Zhu Jiayu Zhang Xinyi Wang Zhibo Jin Huaming Chen AAML 44 1 0 09 Jun 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability Junqi Gao Biqing Qi Yao Li Zhichang Guo Dong Li Yuming Xing Dazhi Zhang AAML 34 6 0 08 Jun 2024
Enhancing Adversarial Transferability via Information Bottleneck Constraints Biqing Qi Junqi Gao Jianxing Liu Ligang Wu Bowen Zhou AAML 37 2 0 08 Jun 2024
Typography Leads Semantic Diversifying: Amplifying Adversarial Transferability across Multimodal Large Language Models Hao-Ran Cheng Erjia Xiao Jiahang Cao Le Yang Kaidi Xu Jindong Gu Renjing Xu AAML 64 7 0 30 May 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 35 3 0 29 May 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 44 0 0 27 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling Chunlin Qiu Yiheng Duan Lingchen Zhao Qian Wang AAML 40 2 0 25 May 2024
Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography N. Chung Sensen Gao Tuan-Anh Vu Jie M. Zhang Aishan Liu Yun Lin Jin Song Dong Qi Guo AAML 37 10 0 23 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 39 14 0 23 May 2024
Invisible Backdoor Attack against Self-supervised Learning Hanrong Zhang Zhenting Wang Tingxu Han Mingyu Jin Chenlu Zhan Jundong Li Hongwei Wang Shiqing Ma Hongwei Wang Shiqing Ma AAML SSL 49 2 0 23 May 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection Yuhao Sun Lingyun Yu Hongtao Xie Jiaming Li Yongdong Zhang AAML DiffM PICV 47 9 0 16 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 0 0 10 May 2024
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
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation Heqi Peng Yun-an Wang Ruijie Yang Beichen Li Rui Wang Yuanfang Guo AAML 43 0 0 19 Apr 2024
Exploring the Transferability of Visual Prompting for Multimodal Large Language Models Yichi Zhang Yinpeng Dong Siyuan Zhang Tianzan Min Hang Su Jun Zhu LRM VLM 52 5 0 17 Apr 2024
Practical Region-level Attack against Segment Anything Models Yifan Shen Zhengyuan Li Gang Wang VLM 40 9 0 12 Apr 2024
Unsegment Anything by Simulating Deformation Jiahao Lu Xingyi Yang Xinchao Wang 36 4 0 03 Apr 2024
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches Lingxuan Wu Xiao Yang Yinpeng Dong Liuwei Xie Hang Su Jun Zhu AAML 37 2 0 31 Mar 2024
On Inherent Adversarial Robustness of Active Vision Systems Amitangshu Mukherjee Timur Ibrayev Kaushik Roy AAML 38 0 0 29 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 41 1 0 25 Mar 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 37 5 0 19 Mar 2024
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory Sensen Gao Xiaojun Jia Xuhong Ren Ivor Tsang Qing Guo AAML 38 14 0 19 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM Linyu Tang Lei Zhang AAML 35 3 0 18 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Hard-label based Small Query Black-box Adversarial Attack Jeonghwan Park Paul Miller Niall McLaughlin MLAU 26 3 0 09 Mar 2024
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks Edgar Medina Leyong Loh AAML 32 0 0 07 Mar 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 71 2 0 27 Feb 2024
Investigating Deep Watermark Security: An Adversarial Transferability Perspective Biqing Qi Junqi Gao Yiang Luo Jianxing Liu Ligang Wu Bowen Zhou AAML 31 3 0 26 Feb 2024
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping Qinliang Lin Cheng Luo Zenghao Niu Xilin He Weicheng Xie Yuanbo Hou Linlin Shen Siyang Song AAML 44 12 0 06 Feb 2024
Towards Assessing the Synthetic-to-Measured Adversarial Vulnerability of SAR ATR Bowen Peng Bo Peng Jingyuan Xia Tianpeng Liu Yongxiang Liu Li Liu AAML 32 4 0 30 Jan 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
Bag of Tricks to Boost Adversarial Transferability Zeliang Zhang Rongyi Zhu Wei Yao Xiaosen Wang Chenliang Xu AAML 47 9 0 16 Jan 2024
Adversarial Examples are Misaligned in Diffusion Model Manifolds P. Lorenz Ricard Durall Jansi Keuper DiffM 47 1 0 12 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 29 8 0 11 Jan 2024
Enhancing targeted transferability via feature space fine-tuning Hui Zeng Biwei Chen Anjie Peng AAML 31 3 0 05 Jan 2024