Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation

20 April 2025

Papers citing "Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation"

50 / 62 papers shown

Title
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems Song Xia Yi Yu Wenhan Yang Meiwen Ding Zhuo Chen Lingyu Duan Alex C. Kot Xudong Jiang 114 3 0 01 Mar 2025
Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior Yi Yu Yufei Wang Wenhan Yang Lanqing Guo Shijian Lu Ling-yu Duan Yap-Peng Tan Alex C. Kot AAML 123 8 0 02 Dec 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 121 6 0 26 Oct 2024
Towards Physical World Backdoor Attacks against Skeleton Action Recognition Qichen Zheng Yi Yu Siyuan Yang Jun Liu Kwok-Yan Lam Alex C. Kot AAML 74 4 0 16 Aug 2024
Semantic Deep Hiding for Robust Unlearnable Examples Ruohan Meng Chenyu Yi Yi Yu Siyuan Yang Bingquan Shen Alex C. Kot 119 5 0 25 Jun 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 99 17 0 23 May 2024
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 69 13 0 02 May 2024
Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing Song Xia Yu Yi Xudong Jiang Henghui Ding 91 9 0 15 Apr 2024
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations Xun Lin Yi Yu Song Xia Jue Jiang Haoran Wang ... Yizhong Liu Ying Fu Shuai Wang Wenzhong Tang Alex C. Kot AAML 36 7 0 21 Mar 2024
Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-adaptive Attacks Chong Wang Yi Yu Lanqing Guo Bihan Wen AAML 87 7 0 15 Mar 2024
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 90 41 0 20 Aug 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Yue Liu Shuang Wu Shouhong Ding Wenqiang Zhang AAML 78 34 0 02 Jul 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability Haotian Xue Alexandre Araujo Bin Hu Yongxin Chen DiffM 117 48 0 25 May 2023
Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization Yulong Yang Chenhao Lin Qian Li Zhengyu Zhao Haoran Fan Dawei Zhou Nannan Wang Tongliang Liu Chao Shen AAML MQ 109 14 0 10 May 2023
Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization Jianping Zhang Yizhan Huang Weibin Wu Michael R. Lyu AAML ViT 71 54 0 28 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method Jianping Zhang Jen-tse Huang Wenxuan Wang Yichen Li Weibin Wu Xiaosen Wang Yuxin Su Michael R. Lyu AAML 104 52 0 28 Mar 2023
Randomized Adversarial Training via Taylor Expansion Gao Jin Xinping Yi Dengyu Wu Ronghui Mu Xiaowei Huang AAML 81 35 0 19 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 79 19 0 07 Mar 2023
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger Yi Yu Yufei Wang Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot 108 44 0 28 Feb 2023
Transferable Adversarial Attack based on Integrated Gradients Yunpeng Huang A. Kong AAML 71 53 0 26 May 2022
Diffusion Models for Adversarial Purification Weili Nie Brandon Guo Yujia Huang Chaowei Xiao Arash Vahdat Anima Anandkumar WIGM 269 450 0 16 May 2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks Jianping Zhang Weibin Wu Jen-tse Huang Yizhan Huang Wenxuan Wang Yuxin Su Michael R. Lyu AAML 91 136 0 31 Mar 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond Yi Yu Wenhan Yang Yap-Peng Tan Alex C. Kot AAML 91 64 0 31 Mar 2022
Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective Gowthami Somepalli Liam H. Fowl Arpit Bansal Ping Yeh-Chiang Yehuda Dar Richard Baraniuk Micah Goldblum Tom Goldstein 57 67 0 15 Mar 2022
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal Yucheng Shi Yahong Han Yu-an Tan Xiaohui Kuang 100 31 0 07 Dec 2021
Feature Importance-aware Transferable Adversarial Attacks Peng Kuang Hengchang Guo Zhifei Zhang Wenxin Liu Zhan Qin K. Ren AAML 74 217 0 29 Jul 2021
Enhancing the Transferability of Adversarial Attacks through Variance Tuning Xiaosen Wang Kun He AAML 104 394 0 29 Mar 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 373 6,586 0 26 Nov 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 87 260 0 08 Jun 2020
FDA: Feature Disruptive Attack Aditya Ganeshan S. VivekB. R. Venkatesh Babu AAML 103 105 0 10 Sep 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks Jiadong Lin Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML 94 573 0 17 Aug 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior Shuyu Cheng Yinpeng Dong Tianyu Pang Hang Su Jun Zhu AAML 90 274 0 17 Jun 2019
Simple Black-box Adversarial Attacks Chuan Guo Jacob R. Gardner Yurong You A. Wilson Kilian Q. Weinberger AAML 65 580 0 17 May 2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications Bryse Flowers R. M. Buehrer William C. Headley AAML 71 127 0 01 Mar 2019
Theoretically Principled Trade-off between Robustness and Accuracy Hongyang R. Zhang Yaodong Yu Jiantao Jiao Eric Xing L. Ghaoui Michael I. Jordan 159 2,560 0 24 Jan 2019
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao H. Foroosh AAML 121 270 0 30 Nov 2018
Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach Minhao Cheng Thong Le Pin-Yu Chen Jinfeng Yi Huan Zhang Cho-Jui Hsieh AAML 106 348 0 12 Jul 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 165 1,208 0 23 Apr 2018
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 113 1,125 0 19 Mar 2018
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples Zihao Liu Qi Liu Tao Liu Nuo Xu Xue Lin Yanzhi Wang Wujie Wen AAML MQ 69 263 0 14 Mar 2018
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 91 303 0 26 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 215 19,353 0 13 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser Fangzhou Liao Ming Liang Yinpeng Dong Tianyu Pang Xiaolin Hu Jun Zhu 87 888 0 08 Dec 2017
Mitigating Adversarial Effects Through Randomization Cihang Xie Jianyu Wang Zhishuai Zhang Zhou Ren Alan Yuille AAML 122 1,062 0 06 Nov 2017
Countering Adversarial Images using Input Transformations Chuan Guo Mayank Rana Moustapha Cissé Laurens van der Maaten AAML 135 1,406 0 31 Oct 2017
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples Yang Song Taesup Kim Sebastian Nowozin Stefano Ermon Nate Kushman AAML 126 790 0 30 Oct 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 95 1,887 0 14 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,729 0 19 May 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 97 1,273 0 04 Apr 2017