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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
Machine Learning in Access Control: A Taxonomy and Survey M. N. Nobi Maanak Gupta Lopamudra Praharaj Mahmoud Abdelsalam R. Krishnan Ravi Sandhu OOD 39 6 0 04 Jul 2022
Eliciting and Learning with Soft Labels from Every Annotator Katherine M. Collins Umang Bhatt Adrian Weller 88 47 0 02 Jul 2022
Defending Multimodal Fusion Models against Single-Source Adversaries Karren D. Yang Wan-Yi Lin M. Barman Filipe Condessa Zico Kolter AAML 65 32 0 25 Jun 2022
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems Wen-ming Hou Qianqian Xu Zhiyong Yang Shilong Bao Yuan He Qingming Huang AAML 82 6 0 24 Jun 2022
BERT Rankers are Brittle: a Study using Adversarial Document Perturbations Yumeng Wang Lijun Lyu Avishek Anand AAML 34 22 0 23 Jun 2022
Existence and Minimax Theorems for Adversarial Surrogate Risks in Binary Classification Natalie Frank Jonathan Niles-Weed AAML 109 15 0 18 Jun 2022
Catastrophic overfitting can be induced with discriminative non-robust features Guillermo Ortiz-Jiménez Pau de Jorge Amartya Sanyal Adel Bibi P. Dokania P. Frossard Grégory Rogez Philip Torr AAML 61 3 0 16 Jun 2022
Analysis and Extensions of Adversarial Training for Video Classification K. A. Kinfu René Vidal AAML 88 13 0 16 Jun 2022
Queried Unlabeled Data Improves and Robustifies Class-Incremental Learning Tianlong Chen Sijia Liu Shiyu Chang Lisa Amini Zhangyang Wang CLL 89 4 0 15 Jun 2022
Morphence-2.0: Evasion-Resilient Moving Target Defense Powered by Out-of-Distribution Detection Abderrahmen Amich Ata Kaboudi Birhanu Eshete AAML OODD 32 2 0 15 Jun 2022
Proximal Splitting Adversarial Attacks for Semantic Segmentation Jérôme Rony J. Pesquet Ismail Ben Ayed AAML 68 23 0 14 Jun 2022
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training B. Manoj Meysam Sadeghi Erik G. Larsson AAML 64 11 0 14 Jun 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks Tuan Dinh Yuchen Zeng Ruisu Zhang Ziqian Lin Michael Gira Shashank Rajput Jy-yong Sohn Dimitris Papailiopoulos Kangwook Lee LMTD 178 139 0 14 Jun 2022
An Efficient Method for Sample Adversarial Perturbations against Nonlinear Support Vector Machines Wen Su Qingna Li AAML 35 0 0 12 Jun 2022
Defending Adversarial Examples by Negative Correlation Ensemble Wenjian Luo Hongwei Zhang Linghao Kong Zhijian Chen Jiaheng Zhang AAML 32 1 0 11 Jun 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems Shehzeen Samarah Hussain Todd P. Huster Chris Mesterharm Paarth Neekhara Kevin R. An Malhar Jere Harshvardhan Digvijay Sikka F. Koushanfar AAML 92 6 0 09 Jun 2022
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training Tianlong Chen Zhenyu Zhang Sijia Liu Yang Zhang Shiyu Chang Zhangyang Wang AAML 79 8 0 09 Jun 2022
Adversarial Noises Are Linearly Separable for (Nearly) Random Neural Networks Huishuai Zhang Da Yu Yiping Lu Di He AAML 107 1 0 09 Jun 2022
LADDER: Latent Boundary-guided Adversarial Training Xiaowei Zhou Ivor W. Tsang Jie Yin AAML 60 7 0 08 Jun 2022
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 102 19 0 07 Jun 2022
Federated Adversarial Training with Transformers Ahmed Aldahdooh W. Hamidouche Olivier Déforges FedML ViT 83 2 0 05 Jun 2022
Gradient Obfuscation Checklist Test Gives a False Sense of Security Nikola Popovic D. Paudel Thomas Probst Luc Van Gool AAML 81 6 0 03 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 92 6 0 03 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 79 19 0 03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 86 6 0 02 Jun 2022
Suggestive Annotation of Brain MR Images with Gradient-guided Sampling Chengliang Dai Shuo Wang Yuanhan Mo Elsa D. Angelini Yike Guo Wenjia Bai DiffM MedIm 126 10 0 02 Jun 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 50 2 0 01 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks Kiarash Mohammadi Aishwarya Sivaraman G. Farnadi 107 5 0 01 Jun 2022
The robust way to stack and bag: the local Lipschitz way Thulasi Tholeti Sheetal Kalyani AAML 47 5 0 01 Jun 2022
What Knowledge Gets Distilled in Knowledge Distillation? Utkarsh Ojha Yuheng Li Anirudh Sundara Rajan Yingyu Liang Yong Jae Lee FedML 85 21 0 31 May 2022
Integrity Authentication in Tree Models Weijie Zhao Yingjie Lao Ping Li 151 5 0 30 May 2022
Why Adversarial Training of ReLU Networks Is Difficult? Xu Cheng Hao Zhang Yue Xin Wen Shen Jie Ren Quanshi Zhang AAML 57 3 0 30 May 2022
CHALLENGER: Training with Attribution Maps Christian Tomani Zorah Lähner 27 1 0 30 May 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 247 34 0 30 May 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 72 1 0 29 May 2022
R-HTDetector: Robust Hardware-Trojan Detection Based on Adversarial Training Kento Hasegawa Seira Hidano Kohei Nozawa S. Kiyomoto N. Togawa 41 25 0 27 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen Zhenyu Zhang Yihua Zhang Shiyu Chang Sijia Liu Zhangyang Wang AAML 80 25 0 24 May 2022
Squeeze Training for Adversarial Robustness Qizhang Li Yiwen Guo W. Zuo Hao Chen OOD 105 9 0 23 May 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks Sen Pei Jiaxi Sun Xiaopeng Zhang Gaofeng Meng AAML 67 0 0 21 May 2022
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification Jungeum Kim Tianlin Li OOD AAML 33 3 0 20 May 2022
Attacking and Defending Deep Reinforcement Learning Policies Chao Wang AAML 60 2 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 106 5 0 15 May 2022
Exploiting the Relationship Between Kendall's Rank Correlation and Cosine Similarity for Attribution Protection Fan Wang A. Kong 179 10 0 15 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu Zhan Hu Siyuan Huang Jianmin Li Xiaolin Hu AAML 67 56 0 12 May 2022
Using Frequency Attention to Make Adversarial Patch Powerful Against Person Detector Xiaochun Lei Chang Lu Zetao Jiang Zhaoting Gong Xiang Cai Linjun Lu AAML 54 5 0 10 May 2022
Btech thesis report on adversarial attack detection and purification of adverserially attacked images Dvij Kalaria AAML 24 1 0 09 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
Adversarial Plannning Valentin Vie Ryan Sheatsley Sophia Beyda S. Shringarputale Kevin S. Chan Trent Jaeger Patrick McDaniel AAML 33 0 0 01 May 2022
Adversarial Fine-tune with Dynamically Regulated Adversary Peng-Fei Hou Ming Zhou Jie Han Petr Musílek Xingyu Li AAML 58 3 0 28 Apr 2022
Uncertainty-Aware Prediction of Battery Energy Consumption for Hybrid Electric Vehicles Jihed Khiari Cristina Olaverri-Monreal 56 2 0 27 Apr 2022