Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

50 / 1,329 papers shown

Title
Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency Bo Yang Hengwei Zhang Jindong Wang Yuchen Ren Chenhao Lin Chao Shen Zhengyu Zhao AAML 7 0 0 19 May 2025
Towards Adaptive Meta-Gradient Adversarial Examples for Visual Tracking Wei-Long Tian Peng Gao Xiao Liu Long Xu Hamido Fujita Hanan Aljuai Mao-Li Wang AAML 29 0 0 13 May 2025
How to Backdoor the Knowledge Distillation C. Wu Qian Ma P. Mitra Sencun Zhu AAML 32 0 0 30 Apr 2025
Seeking Flat Minima over Diverse Surrogates for Improved Adversarial Transferability: A Theoretical Framework and Algorithmic Instantiation Meixi Zheng Kehan Wu Yanbo Fan Rui Huang Baoyuan Wu AAML 39 0 0 23 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 157 0 0 20 Apr 2025
Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach Hangyu Liu Bo Peng Pengxiang Ding Donglin Wang AAML 28 0 0 19 Apr 2025
SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models Zeyu Dai Shengcai Liu Rui He Jiahao Wu Ning Lu Wenqi Fan Qing Li Ke Tang DiffM AAML 38 0 0 16 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models Fatemeh Amerehi Patrick Healy AAML 33 0 0 15 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models Yoojin Jung Byung Cheol Song AAML VLM MQ 38 0 0 07 Apr 2025
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense Haibo Zhang Zhihua Yao Kouichi Sakurai Takeshi Saitoh AAML 58 0 0 02 Apr 2025
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization Chaohu Liu Tianyi Gui Yu Liu Linli Xu VLM AAML 68 1 0 02 Apr 2025
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection Yinghe Zhang Chi Liu S. Kevin Zhou Sheng Shen Peng Gui AAML 51 0 0 01 Apr 2025
Robust Deep Reinforcement Learning in Robotics via Adaptive Gradient-Masked Adversarial Attacks Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang ... Ling Xiong Hongbin Liang Heming Cui Yong Cui Yue Gao AAML 53 2 0 26 Mar 2025
State-Aware Perturbation Optimization for Robust Deep Reinforcement Learning Zongyuan Zhang Tianyang Duan Zheng Lin Dong Huang Zihan Fang Zekai Sun Ling Xiong Hongbin Liang Heming Cui Yong Cui AAML 90 1 0 26 Mar 2025
Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers Gaojie Jin Tianjin Huang Ronghui Mu Xiaowei Huang AAML 51 0 0 21 Mar 2025
Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement Yuchen Ren Zhengyu Zhao Chenhao Lin Bo Yang Zhe Liu Jiafei Wu Chao Shen ViT 50 0 0 19 Mar 2025
GSBA $^K$ : $top$ - $K$ Geometric Score-based Black-box Attack Md. Farhamdur Reza Richeng Jin Tianfu Wu H. Dai AAML 47 0 0 17 Mar 2025
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks Jin Li Ziqiang He Anwei Luo Jian-Fang Hu Zhong Wang Xiangui Kang DiffM 69 0 0 12 Mar 2025
Boosting the Local Invariance for Better Adversarial Transferability Bohan Liu Xiaosen Wang AAML 65 0 0 08 Mar 2025
Improving the Transferability of Adversarial Attacks by an Input Transpose Qing Wan Shilong Deng Xun Wang AAML 36 0 0 02 Mar 2025
Concealed Adversarial attacks on neural networks for sequential data P. Sokerin Dmitry Anikin Sofia Krehova Alexey Zaytsev AAML AI4TS 49 0 0 28 Feb 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior Chanhui Lee Yeonghwan Song Jeany Son AAML 150 0 0 28 Feb 2025
SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models Mingsi Wang Shuaiyin Yao Chang Yue Lijie Zhang Guozhu Meng DiffM AAML 71 0 0 27 Feb 2025
BeamVQ: Beam Search with Vector Quantization to Mitigate Data Scarcity in Physical Spatiotemporal Forecasting Weiyan Wang Xingjian Shi Ruiqi Shu Yuan Gao Rui Chen ... Shuaipeng Li Yangyu Tao Di Wang Hao Wu Xiaomeng Huang 64 0 0 26 Feb 2025
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation Wenyuan Wu Zheng Liu Yong Chen Chao Su Dezhong Peng Xu Wang AAML 37 0 0 24 Feb 2025
CyberSentinel: An Emergent Threat Detection System for AI Security Krti Tallam 41 2 0 20 Feb 2025
Carefully Blending Adversarial Training, Purification, and Aggregation Improves Adversarial Robustness Emanuele Ballarin A. Ansuini Luca Bortolussi AAML 62 0 0 20 Feb 2025
A Transfer Attack to Image Watermarks Yuepeng Hu Zhengyuan Jiang Moyang Guo Neil Zhenqiang Gong 77 10 0 20 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 52 0 0 16 Feb 2025
Wasserstein distributional adversarial training for deep neural networks Xingjian Bai Guangyi He Yifan Jiang Jan Obloj OOD 56 0 0 13 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 56 0 0 04 Feb 2025
Exploring Secure Machine Learning Through Payload Injection and FGSM Attacks on ResNet-50 Umesh Yadav Suman Niraula Gaurav Kumar Gupta Bicky Yadav SILM 42 0 0 04 Jan 2025
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing Hao Fei Shengqiong Wu H. Zhang Tat-Seng Chua Shuicheng Yan 64 39 0 31 Dec 2024
Enhancing Adversarial Robustness of Deep Neural Networks Through Supervised Contrastive Learning Longwei Wang Navid Nayyem Abdullah Rakin AAML 31 0 0 27 Dec 2024
A Review of the Duality of Adversarial Learning in Network Intrusion: Attacks and Countermeasures Shalini Saini Anitha Chennamaneni Babatunde Sawyerr AAML 84 0 0 18 Dec 2024
Pre-trained Multiple Latent Variable Generative Models are good defenders against Adversarial Attacks Dario Serez Marco Cristani Alessio Del Bue Vittorio Murino Pietro Morerio AAML 86 0 0 04 Dec 2024
Sustainable Self-evolution Adversarial Training Wenxuan Wang Chenglei Wang Huihui Qi Menghao Ye Xuelin Qian Peng Wang Yanning Zhang AAML 71 0 0 03 Dec 2024
Face De-identification: State-of-the-art Methods and Comparative Studies Jingyi Cao Xiangyi Chen Bo Liu Ming Ding Rong Xie Li-Na Song Zhu Li Wenjun Zhang PICV 57 2 0 15 Nov 2024
The Inherent Adversarial Robustness of Analog In-Memory Computing Corey Lammie Julian Büchel A. Vasilopoulos Manuel Le Gallo Abu Sebastian AAML 44 0 0 11 Nov 2024
Neural Fingerprints for Adversarial Attack Detection Haim Fisher Moni Shahar Yehezkel S. Resheff AAML 23 0 0 07 Nov 2024
User-wise Perturbations for User Identity Protection in EEG-Based BCIs Xiaoqing Chen Siyang Li Yunlu Tu Ziwei Wang Dongrui Wu 27 2 0 04 Nov 2024
ARQ: A Mixed-Precision Quantization Framework for Accurate and Certifiably Robust DNNs Yuchen Yang Shubham Ugare Yifan Zhao Gagandeep Singh Sasa Misailovic MQ 26 0 0 31 Oct 2024
Longitudinal Mammogram Exam-based Breast Cancer Diagnosis Models: Vulnerability to Adversarial Attacks Zhengbo Zhou Degan Hao Dooman Arefan M. Zuley J. Sumkin Shandong Wu AAML 30 0 0 29 Oct 2024
GADT: Enhancing Transferable Adversarial Attacks through Gradient-guided Adversarial Data Transformation Yating Ma Xiaogang Xu Liming Fang Zhe Liu AAML 28 0 0 24 Oct 2024
Conflict-Aware Adversarial Training Zhiyu Xue Haohan Wang Yao Qin Ramtin Pedarsani AAML 28 0 0 21 Oct 2024
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu Xinfeng Li 119 0 0 13 Oct 2024
Collaboration! Towards Robust Neural Methods for Routing Problems Jianan Zhou Yaoxin Wu Zhiguang Cao Wen Song Jie Zhang Zhiqi Shen AAML 23 3 0 07 Oct 2024
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning Yongyi Su Yushu Li Nanqing Liu Kui Jia Xulei Yang Chuan-Sheng Foo Xun Xu TTA AAML 56 0 0 07 Oct 2024
TA3: Testing Against Adversarial Attacks on Machine Learning Models Yuanzhe Jin Min Chen 31 0 0 06 Oct 2024
Towards Universal Certified Robustness with Multi-Norm Training Enyi Jiang Gagandeep Singh Gagandeep Singh AAML 60 1 0 03 Oct 2024