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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness Ruoxi Qin Linyuan Wang Xuehui Du Xing-yuan Chen Binghai Yan AAML 111 1 0 01 Aug 2023
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack HaiXiang Zhu Zhaoqing Yang Weiwei Shang Yuren Wu AAML FAtt 80 3 0 01 Aug 2023
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks Khushnaseeb Roshan Aasim Zafar Shiekh Burhan Ul Haque AAML 75 10 0 31 Jul 2023
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models Weikang Yu Yonghao Xu Pedram Ghamisi 108 4 0 31 Jul 2023
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top- $k$ Multi-Label Learning Yuchen Sun Qianqian Xu Zitai Wang Qingming Huang AAML 121 1 0 27 Jul 2023
Unified Adversarial Patch for Visible-Infrared Cross-modal Attacks in the Physical World Xingxing Wei Yao Huang Yitong Sun Jie Yu AAML 73 16 0 27 Jul 2023
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models Erfan Shayegani Yue Dong Nael B. Abu-Ghazaleh 119 153 0 26 Jul 2023
Enhanced Security against Adversarial Examples Using a Random Ensemble of Encrypted Vision Transformer Models Ryota Iijima Miki Tanaka Sayaka Shiota Hitoshi Kiya AAML 50 3 0 26 Jul 2023
Improving Transferability of Adversarial Examples via Bayesian Attacks Qizhang Li Yiwen Guo Xiaochen Yang W. Zuo Hao Chen AAML BDL 73 2 0 21 Jul 2023
Fix your downsampling ASAP! Be natively more robust via Aliasing and Spectral Artifact free Pooling Julia Grabinski J. Keuper Margret Keuper AAML 87 7 0 19 Jul 2023
Towards Building More Robust Models with Frequency Bias Qingwen Bu Dong Huang Heming Cui AAML 93 10 0 19 Jul 2023
An Evaluation of Zero-Cost Proxies -- from Neural Architecture Performance to Model Robustness Jovita Lukasik Michael Moeller Margret Keuper 78 1 0 18 Jul 2023
Unified Adversarial Patch for Cross-modal Attacks in the Physical World Xingxing Wei Yao Huang Yitong Sun Jie Yu AAML 84 27 0 15 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang Wen Yao Tingsong Jiang Chong Li Xiaoqian Chen AAML 69 31 0 14 Jul 2023
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation Asif Hanif Muzammal Naseer Salman Khan M. Shah Fahad Shahbaz Khan AAML OOD 70 5 0 14 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 95 9 0 14 Jul 2023
Erasing, Transforming, and Noising Defense Network for Occluded Person Re-Identification Neng Dong Liyan Zhang Shuanglin Yan Hao Tang Jinhui Tang AAML 94 23 0 14 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue Rajeev Alur Eric Wong 117 6 0 12 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 90 14 0 10 Jul 2023
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training Masaaki Imaizumi AAML 71 4 0 08 Jul 2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints Matthias Anton Freiberger Peter Kun Christian Igel A. Løvlie S. Risi VLM AAML 110 2 0 07 Jul 2023
Kernels, Data & Physics Francesco Cagnetta Deborah Oliveira Mahalakshmi Sabanayagam Nikolaos Tsilivis Julia Kempe 98 0 0 05 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 118 9 0 01 Jul 2023
Group-based Robustness: A General Framework for Customized Robustness in the Real World Weiran Lin Keane Lucas Neo Eyal Lujo Bauer Michael K. Reiter Mahmood Sharif OOD AAML 91 1 0 29 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 87 10 0 28 Jun 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 44 0 0 25 Jun 2023
Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions Xinru Shan Chaoning Zhang VLM 90 14 0 23 Jun 2023
Towards quantum enhanced adversarial robustness in machine learning Maxwell T. West S. Tsang J. S. Low C. Hill C. Leckie Lloyd C. L. Hollenberg S. Erfani Muhammad Usman AAML OOD 79 57 0 22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 131 29 0 22 Jun 2023
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance Hao Zhang Chi Man Pun Xia Du AAML 55 0 0 20 Jun 2023
Robustness of SAM: Segment Anything Under Corruptions and Beyond Yu Qiao Chaoning Zhang Taegoo Kang Donghun Kim Chenshuang Zhang Choong Seon Hong AAML 56 34 0 13 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik Margret Keuper OOD AAML 84 20 0 11 Jun 2023
A Robust Likelihood Model for Novelty Detection Ranya Almohsen Shivang Patel Don Adjeroh Gianfranco Doretto AAML OOD 61 0 0 06 Jun 2023
Balancing Logit Variation for Long-tailed Semantic Segmentation Yuchao Wang Jingjing Fei Haochen Wang Wei Li Tianpeng Bao Liwei Wu Rui Zhao Yujun Shen 87 26 0 03 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 73 14 0 02 Jun 2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Xianghao Jiao Yao-Tsorng Liu Jiaxin Gao Xinyuan Chu Risheng Liu Xin-Yue Fan VLM 90 6 0 25 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 72 1 0 23 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Bo Zheng DiffM 99 1 0 22 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 79 4 0 22 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 104 5 0 20 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond Kaichao You Guo Qin Anchang Bao Mengsi Cao Ping Huang Jiulong Shan Mingsheng Long 66 1 0 19 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 122 63 0 18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend Chong Yu Tao Chen Zhongxue Gan AAML 46 1 0 18 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 63 1 0 16 May 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks V. Purohit AAML 80 1 0 16 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen Hechang Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 116 73 0 14 May 2023
A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering Chaoning Zhang Fachrina Dewi Puspitasari Sheng Zheng Chenghao Li Yu Qiao ... Caiyan Qin François Rameau Lik-Hang Lee Sung-Ho Bae Choong Seon Hong VLM 167 67 0 12 May 2023
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action Recognition Xinyu Gong S. Mohan Naina Dhingra Jean-Charles Bazin Yilei Li Zhangyang Wang Rakesh Ranjan EgoV 127 19 0 12 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning Dayuan Chen Jian Zhang Yuqian Lv Jinhuan Wang Hongjie Ni Shanqing Yu Zhen Wang Qi Xuan AAML 97 4 0 04 May 2023
Attack-SAM: Towards Attacking Segment Anything Model With Adversarial Examples Chenshuang Zhang Chaoning Zhang Taegoo Kang Donghun Kim Sung-Ho Bae In So Kweon AAML VLM 90 3 0 01 May 2023