Mitigating Adversarial Effects Through Randomization

6 November 2017

Cihang Xie

Papers citing "Mitigating Adversarial Effects Through Randomization"

50 / 252 papers shown

Title
DP-TRAE: A Dual-Phase Merging Transferable Reversible Adversarial Example for Image Privacy Protection Xia Du Jiajie Zhu Jizhe Zhou Chi-Man Pun Zheng Lin Cong Wu Zhaoyu Chen Jun Luo AAML 31 0 0 11 May 2025
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
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation Yi Yu Song Xia Xun Lin Chenqi Kong Wenhan Yang Shijian Lu Yap-Peng Tan Alex C. Kot AAML SILM 243 0 0 20 Apr 2025
SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks Yue Gao Ilia Shumailov Kassem Fawaz AAML 148 0 0 21 Feb 2025
PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN Jiayu Zhang Zhiyu Zhu Xinyi Wang Silin Liao Zhibo Jin Flora Salim Huaming Chen GAN 54 0 0 16 Feb 2025
Democratic Training Against Universal Adversarial Perturbations Bing-Jie Sun Jun Sun Wei Zhao AAML 74 0 0 08 Feb 2025
CoRPA: Adversarial Image Generation for Chest X-rays Using Concept Vector Perturbations and Generative Models Amy Rafferty Rishi Ramaesh Ajitha Rajan MedIm AAML 66 0 0 04 Feb 2025
OODFace: Benchmarking Robustness of Face Recognition under Common Corruptions and Appearance Variations Caixin Kang Yubo Chen Shouwei Ruan Shiji Zhao Ruochen Zhang Jiayi Wang Shan Fu Xingxing Wei CVBM 84 0 0 03 Dec 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
Learning to Learn Transferable Generative Attack for Person Re-Identification Yuan Bian Min Liu Xueping Wang Yunfeng Ma Yaonan Wang AAML OOD 71 1 0 06 Sep 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models Hao Fang Jiawei Kong Wenbo Yu Bin Chen Jiawei Li Hao Wu Ke Xu Ke Xu AAML VLM 40 13 0 08 Jun 2024
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 54 0 0 27 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 41 1 0 06 May 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 35 3 0 12 Apr 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 43 0 0 30 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
Accelerated Smoothing: A Scalable Approach to Randomized Smoothing Devansh Bhardwaj Kshitiz Kaushik Sarthak Gupta AAML 37 0 0 12 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 38 6 0 11 Feb 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 27 4 0 22 Jan 2024
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks Peng Zhao Jiehua Zhang Bowen Peng Longguang Wang Yingmei Wei Yu Liu Li Liu AAML 39 0 0 21 Dec 2023
Adversarial Prompt Tuning for Vision-Language Models Jiaming Zhang Xingjun Ma Xin Wang Lingyu Qiu Jiaqi Wang Yu-Gang Jiang Jitao Sang AAML VPVLM VLM 32 20 0 19 Nov 2023
Semantic-Aware Adversarial Training for Reliable Deep Hashing Retrieval Xu Yuan Zheng-Wei Zhang Xunguang Wang Lin Wu AAML 39 11 0 23 Oct 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 36 36 0 20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 42 3 0 20 Aug 2023
Test-Time Poisoning Attacks Against Test-Time Adaptation Models Tianshuo Cong Xinlei He Yun Shen Yang Zhang AAML TTA 37 5 0 16 Aug 2023
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad George K. Thiruvathukal Hyoungshick Kim Tamer Abuhmed AAML 32 2 0 12 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty Tao Wu Tie-Mei Luo D. Wunsch AAML 30 9 0 09 Jul 2023
Securing Visually-Aware Recommender Systems: An Adversarial Image Reconstruction and Detection Framework Minglei Yin Bin Liu Neil Zhenqiang Gong Xin Li AAML 9 1 0 11 Jun 2023
The Best Defense is a Good Offense: Adversarial Augmentation against Adversarial Attacks I. Frosio Jan Kautz AAML 31 15 0 23 May 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses Joana Cabral Costa Tiago Roxo Hugo Manuel Proença Pedro R. M. Inácio AAML 57 51 0 18 May 2023
Boosting Adversarial Transferability via Fusing Logits of Top-1 Decomposed Feature Juanjuan Weng Zhiming Luo Dazhen Lin Shaozi Li Zhun Zhong AAML FedML 49 7 0 02 May 2023
Diversifying the High-level Features for better Adversarial Transferability Zhiyuan Wang Zeliang Zhang Siyuan Liang Xiaosen Wang AAML 54 18 0 20 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model Dingcheng Yang Wenjian Yu Zihao Xiao Jiaqi Luo AAML DiffM 31 5 0 14 Apr 2023
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness Wei Wei Jiahuan Zhou Yingying Wu AAML 20 0 0 29 Mar 2023
Fuzziness-tuned: Improving the Transferability of Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 42 0 0 17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 33 56 0 16 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 25 2 0 10 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 31 0 0 08 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 40 75 0 28 Feb 2023
Randomness in ML Defenses Helps Persistent Attackers and Hinders Evaluators Keane Lucas Matthew Jagielski Florian Tramèr Lujo Bauer Nicholas Carlini AAML 30 10 0 27 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations Hassan Dbouk Naresh R Shanbhag AAML 23 7 0 02 Feb 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example Zeliang Zhang Peihan Liu Xiaosen Wang Chenliang Xu AAML 37 3 0 30 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 29 4 0 18 Jan 2023
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments Xiaogang Xu Hengshuang Zhao Philip Torr Jiaya Jia AAML 42 2 0 11 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 26 19 0 05 Dec 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization Jiafeng Wang Zhaoyu Chen Kaixun Jiang Dingkang Yang Lingyi Hong Pinxue Guo Yan Wang Wenqiang Zhang AAML 38 27 0 21 Nov 2022
Towards Robust Dataset Learning Yihan Wu Xinda Li Florian Kerschbaum Heng Huang Hongyang R. Zhang DD OOD 49 10 0 19 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks Zhengyu Zhao Hanwei Zhang Renjue Li R. Sicre Laurent Amsaleg Michael Backes AAML 32 20 0 17 Nov 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting Peng-Fei Hou Jie Han Xingyu Li AAML OOD 23 11 0 26 Oct 2022
ODG-Q: Robust Quantization via Online Domain Generalization Chaofan Tao Ngai Wong MQ 44 1 0 17 Oct 2022