Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles Amira Guesmi Muhammad Shafique AAML 33 1 0 30 Sep 2024
Characterizing Model Robustness via Natural Input Gradients Adrian Rodriguez-Munoz Tongzhou Wang Antonio Torralba AAML 41 1 0 30 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises Anubhooti Jain Susim Roy Kwanit Gupta Mayank Vatsa Richa Singh AAML 25 0 0 29 Sep 2024
MASKDROID: Robust Android Malware Detection with Masked Graph Representations Jingnan Zheng Jiaohao Liu An Zhang Jun Zeng Ziqi Yang Zhenkai Liang Tat-Seng Chua AAML 33 0 0 29 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery Ching-Chun Chang Kai Gao Shuying Xu Anastasia Kordoni Christopher Leckie Isao Echizen 24 0 0 29 Sep 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future Prospects Sabrine Ennaji Fabio De Gaspari Dorjan Hitaj Alicia Kbidi Luigi V. Mancini AAML 42 0 0 27 Sep 2024
Robust Network Learning via Inverse Scale Variational Sparsification Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun AAML 32 0 0 27 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions Samuel Leblanc Aiky Rasolomanana Marco Armenta 35 0 0 20 Sep 2024
A constrained optimization approach to improve robustness of neural networks Shudian Zhao Jan Kronqvist AAML 21 0 0 18 Sep 2024
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving Tianyuan Zhang Lu Wang Jiaqi Kang Xinwei Zhang Siyuan Liang Yuwei Chen Aishan Liu Xianglong Liu AAML 48 2 0 11 Sep 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models Boming Miao Chunxiao Li Yao Zhu Weixiang Sun Zizhe Wang Xiaoyi Wang Chuanlong Xie DiffM AAML 34 1 0 11 Sep 2024
AdvSecureNet: A Python Toolkit for Adversarial Machine Learning Melih Catal Manuel Günther AAML 18 0 0 04 Sep 2024
Reassessing Noise Augmentation Methods in the Context of Adversarial Speech Karla Pizzi Matías Pizarro Asja Fischer 35 0 0 03 Sep 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing Zhibo Jin Jiayu Zhang Zhiyu Zhu Chenyu Zhang Jiahao Huang Jianlong Zhou Fang Chen AAML 37 0 0 22 Aug 2024
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
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
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks Hetvi Waghela Jaydip Sen Sneha Rakshit AAML 19 2 0 20 Aug 2024
Neuro-Symbolic AI for Military Applications D. Hagos D. Rawat NAI 49 4 0 17 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
Label Augmentation for Neural Networks Robustness Fatemeh Amerehi Patrick Healy AAML 39 1 0 04 Aug 2024
A Simple Background Augmentation Method for Object Detection with Diffusion Model Yuhang Li Jun Gao Chen Chen Yue Zhang Jielei Zhang DiffM 40 5 0 01 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
Towards Robust Vision Transformer via Masked Adaptive Ensemble Fudong Lin Jiadong Lou Xu Yuan Nianfeng Tzeng ViT AAML 36 1 0 22 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
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking Yunpeng Gong Chuangliang Zhang Yongjie Hou Lifei Chen Min Jiang AAML 43 9 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
How to beat a Bayesian adversary Zihan Ding Kexin Jin J. Latz Chenguang Liu AAML BDL 46 0 0 11 Jul 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems Yuxin Cao Yumeng Zhu Derui Wang Sheng Wen Minhui Xue Jin Lu Hao Ge AAML 45 0 0 11 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends Daizong Liu Mingyu Yang Xiaoye Qu Pan Zhou Yu Cheng Wei Hu ELM AAML 30 25 0 10 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 45 2 0 09 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
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks Min Ren Yunlong Wang Yuhao Zhu Yongzhen Huang Zhenan Sun Qi Li Tieniu Tan 43 2 0 26 Jun 2024
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning Suyi Li Chenyi Jiang Shidong Wang Yang Long Zheng Zhang Haofeng Zhang CoGe 34 0 0 21 Jun 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization Jia-Li Yin Haoyuan Zheng Ximeng Liu AAML 39 0 0 19 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models Samar Fares Klea Ziu Toluwani Aremu N. Durasov Martin Takáč Pascal Fua Karthik Nandakumar Ivan Laptev VLM AAML 40 4 0 13 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu Jingwen Ye Zunlei Feng Jiazhen Yang Shunyu Liu Xiaotian Yu Lingxiang Jia Mingli Song AAML 42 2 0 13 Jun 2024
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors Zijin Lin Yue Zhao Kai Chen Jinwen He AAML 32 0 0 12 Jun 2024
Understanding Visual Concepts Across Models Brandon Trabucco Max Gurinas Kyle Doherty Ruslan Salakhutdinov VLM 45 0 0 11 Jun 2024
Fast White-Box Adversarial Streaming Without a Random Oracle Ying Feng Aayush Jain David P. Woodruff AAML 39 0 0 10 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification Sajjad Amini Mohammadreza Teymoorianfard Shiqing Ma Amir Houmansadr OOD AAML 37 6 0 09 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks Zhiyuan Cheng Cheng Han James Liang Qifan Wang Xiangyu Zhang Dongfang Liu AAML 37 4 0 09 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations Sravanti Addepalli Priyam Dey R. Venkatesh Babu 45 0 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
Exploring Adversarial Robustness of Deep State Space Models Biqing Qi Yang Luo Junqi Gao Pengfei Li Kai Tian Zhiyuan Ma Bowen Zhou AAML 53 1 0 08 Jun 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
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection Yinting Wu Pai Peng Bo Cai Le Li . AAML 39 0 0 06 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation Yaohua Liu Jiaxin Gao Xuan Liu Xianghao Jiao Xin-Yue Fan Risheng Liu 40 1 0 04 Jun 2024
Enhancing Adversarial Robustness in SNNs with Sparse Gradients Yujia Liu Tong Bu Jianhao Ding Zecheng Hao Tiejun Huang Zhaofei Yu AAML 37 3 0 30 May 2024
Is machine learning good or bad for the natural sciences? David W. Hogg Soledad Villar AI4CE 45 7 0 28 May 2024
PeerFL: A Simulator for Peer-to-Peer Federated Learning at Scale Alka Luqman Shivanshu Shekhar Anupam Chattopadhyay FedML 38 0 0 28 May 2024