Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,599 papers shown

Title
Unified Adversarial Patch for Cross-modal Attacks in the Physical World Xingxing Wei Yao Huang Yitong Sun Jie Yu AAML 25 25 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 17 28 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 38 4 0 14 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning Byung-Kwan Lee Junho Kim Yonghyun Ro AAML 18 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 8 22 0 14 Jul 2023
Stability Guarantees for Feature Attributions with Multiplicative Smoothing Anton Xue Rajeev Alur Eric Wong 41 5 0 12 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 32 13 0 10 Jul 2023
Sup-Norm Convergence of Deep Neural Network Estimator for Nonparametric Regression by Adversarial Training Masaaki Imaizumi AAML 13 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 34 2 0 07 Jul 2023
Kernels, Data & Physics Francesco Cagnetta Deborah Oliveira Mahalakshmi Sabanayagam Nikolaos Tsilivis Julia Kempe 28 0 0 05 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 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 27 1 0 29 Jun 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 19 10 0 28 Jun 2023
Computational Asymmetries in Robust Classification Samuele Marro M. Lombardi AAML 21 0 0 25 Jun 2023
Robustness of Segment Anything Model (SAM) for Autonomous Driving in Adverse Weather Conditions Xinru Shan Chaoning Zhang VLM 30 12 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 16 53 0 22 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 27 25 0 22 Jun 2023
Reversible Adversarial Examples with Beam Search Attack and Grayscale Invariance Hao Zhang Chi Man Pun Xia Du AAML 13 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 21 33 0 13 Jun 2023
Neural Architecture Design and Robustness: A Dataset Steffen Jung Jovita Lukasik M. Keuper OOD AAML 46 19 0 11 Jun 2023
A Robust Likelihood Model for Novelty Detection Ranya Almohsen Shivang Patel Don Adjeroh Gianfranco Doretto AAML OOD 6 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 34 25 0 03 Jun 2023
A Closer Look at the Adversarial Robustness of Deep Equilibrium Models Zonghan Yang Tianyu Pang Yang Liu AAML 13 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 31 6 0 25 May 2023
Adversarial Defenses via Vector Quantization Zhiyi Dong Yongyi Mao AAML 19 1 0 23 May 2023
Latent Magic: An Investigation into Adversarial Examples Crafted in the Semantic Latent Space Bo Zheng DiffM 17 1 0 22 May 2023
Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Kira Maag Asja Fischer AAML UQCV 21 4 0 22 May 2023
Annealing Self-Distillation Rectification Improves Adversarial Training Yuehua Wu Hung-Jui Wang Shang-Tse Chen AAML 24 3 0 20 May 2023
Efficient ConvBN Blocks for Transfer Learning and Beyond Kaichao You Guo Qin Anchang Bao Mengsi Cao Ping-Chia Huang Jiulong Shan Mingsheng Long 31 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 43 50 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 23 1 0 18 May 2023
Noise robust neural network architecture Yunuo Xiong Hongwei Xiong 14 1 0 16 May 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks V. Purohit AAML 24 1 0 16 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack Jianqi Chen H. Chen Keyan Chen Yilan Zhang Zhengxia Zou Z. Shi DiffM 32 57 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 84 63 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 56 17 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 23 3 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 44 3 0 01 May 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 22 19 0 26 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification Timothée Fronteau Arnaud Paran A. Shabou AAML 31 2 0 24 Apr 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang Yongqin Xian H. Ling Jinyuan Zhang Xiaorui Lin Ping Li Jiazhong Chen Ning Yu AAML 17 8 0 22 Apr 2023
MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion Zilong Lin Zhengyi Li Xiaojing Liao Xiaofeng Wang Xiaozhong Liu AAML 10 9 0 22 Apr 2023
RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models Seulki Park Daeho Um Hajung Yoon Sanghyuk Chun Sangdoo Yun Jin Young Choi 38 2 0 21 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 34 8 0 17 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 29 275 0 14 Apr 2023
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks Jihed Khiari Cristina Olaverri-Monreal 19 1 0 14 Apr 2023
Understanding Overfitting in Adversarial Training via Kernel Regression Teng Zhang Kang Li 24 2 0 13 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 22 2 0 10 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 29 1 0 08 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 36 0 0 08 Apr 2023