v1v2 (latest)

Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Understanding The Robustness in Vision Transformers Daquan Zhou Zhiding Yu Enze Xie Chaowei Xiao Anima Anandkumar Jiashi Feng J. Álvarez ViT 156 193 0 26 Apr 2022
VITA: A Multi-Source Vicinal Transfer Augmentation Method for Out-of-Distribution Generalization Minghui Chen Cheng Wen Feng Zheng Fengxiang He Ling Shao OODD 51 5 0 25 Apr 2022
Fast AdvProp Jieru Mei Yucheng Han Yutong Bai Yixiao Zhang Yingwei Li Xianhang Li Alan Yuille Cihang Xie AAML 85 8 0 21 Apr 2022
Poisons that are learned faster are more effective Pedro Sandoval-Segura Vasu Singla Liam H. Fowl Jonas Geiping Micah Goldblum David Jacobs Tom Goldstein 89 17 0 19 Apr 2022
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval Xunguang Wang Yinqun Lin Xuelong Li AAML GAN 82 7 0 18 Apr 2022
Residue-Based Natural Language Adversarial Attack Detection Vyas Raina Mark Gales AAML 72 12 0 17 Apr 2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning Jun Guo Yonghong Chen Yihang Hao Zixin Yin Yin Yu Simin Li AAML 106 34 0 17 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 91 10 0 15 Apr 2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization Jungbeom Lee Eunji Kim J. Mok Sung-Hoon Yoon WSOL 115 32 0 11 Apr 2022
Adaptive-Gravity: A Defense Against Adversarial Samples Ali Mirzaeian Zhi Tian Sai Manoj P D B. S. Latibari I. Savidis Houman Homayoun Avesta Sasan AAML OOD 58 1 0 07 Apr 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 105 19 0 07 Apr 2022
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines Wen Su Qingna Li Chunfeng Cui AAML 55 1 0 07 Apr 2022
Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network Byung-Kwan Lee Junho Kim Y. Ro AAML 59 20 0 06 Apr 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck Junho Kim Byung-Kwan Lee Yong Man Ro AAML 64 46 0 06 Apr 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 91 92 0 04 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper Margret Keuper AAML 77 22 0 01 Apr 2022
Robust and Accurate -- Compositional Architectures for Randomized Smoothing Miklós Z. Horváth Mark Niklas Muller Marc Fischer Martin Vechev UQCV AAML 67 14 0 01 Apr 2022
Adversarial Examples in Random Neural Networks with General Activations Andrea Montanari Yuchen Wu GAN AAML 103 14 0 31 Mar 2022
Adversarial Speaker Distillation for Countermeasure Model on Automatic Speaker Verification Yen-Lun Liao Xuan-Bo Chen Chung-Che Wang J. Jang AAML 95 8 0 31 Mar 2022
Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond Yi Yu Wenhan Yang Yap-Peng Tan Alex C. Kot AAML 103 65 0 31 Mar 2022
Investigating Top- $k$ White-Box and Transferable Black-box Attack Chaoning Zhang Philipp Benz Adil Karjauv Jae-Won Cho Kang Zhang In So Kweon 87 44 0 30 Mar 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 107 31 0 29 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 128 73 0 26 Mar 2022
Improving Robustness of Jet Tagging Algorithms with Adversarial Training Annika Stein X. Coubez S. Mondal A. Novák A. Schmidt AAML 58 5 0 25 Mar 2022
Enhancing Transferability of Adversarial Examples with Spatial Momentum Guoqiu Wang Huanqian Yan Xingxing Wei AAML 74 9 0 25 Mar 2022
A Perturbation-Constrained Adversarial Attack for Evaluating the Robustness of Optical Flow Jenny Schmalfuss Philipp Scholze Andrés Bruhn AAML 81 19 0 24 Mar 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality Ziqi Wang Marco Loog AAML 46 3 0 23 Mar 2022
Powerful Physical Adversarial Examples Against Practical Face Recognition Systems Inderjeet Singh Toshinori Araki Kazuya Kakizaki AAML 101 13 0 23 Mar 2022
Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen Yong Zhang Yibing Song Lingqiao Liu Jue Wang AAML 139 212 0 23 Mar 2022
On The Robustness of Offensive Language Classifiers Jonathan Rusert Zubair Shafiq P. Srinivasan AAML 43 13 0 21 Mar 2022
An Intermediate-level Attack Framework on The Basis of Linear Regression Yiwen Guo Qizhang Li W. Zuo Hao Chen 99 14 0 21 Mar 2022
What Do Adversarially trained Neural Networks Focus: A Fourier Domain-based Study Binxiao Huang Chaofan Tao R. Lin Ngai Wong AAML OOD 60 3 0 16 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 141 25 0 16 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 76 140 0 13 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems H. Abdullah Aditya Karlekar S. Prasad Muhammad Sajidur Rahman Logan Blue L. A. Bauer Vincent Bindschaedler Patrick Traynor AAML 65 3 0 10 Mar 2022
SoK: On the Semantic AI Security in Autonomous Driving Junjie Shen Ningfei Wang Ziwen Wan Yunpeng Luo Takami Sato ... Zhenyu Zhong Kang Li Ziming Zhao Chunming Qiao Qi Alfred Chen AAML 84 41 0 10 Mar 2022
$Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees$ Reverse Engineering $\ell_p$ attacks: A block-sparse optimization approach with recovery guarantees D. Thaker Paris V. Giampouras René Vidal AAML 46 6 0 09 Mar 2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition Yi Chang Sofiane Laridi Zhao Ren Gregory Palmer Björn W. Schuller M. Fisichella FedML AAML 72 14 0 09 Mar 2022
Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation Qilong Zhang Chaoning Zhang Chaoning Zhang Chaoqun Li Xuanhan Wang Jingkuan Song Lianli Gao AAML 166 21 0 09 Mar 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation Robin Wang Yibo Yang Dacheng Tao 3DPC 119 18 0 08 Mar 2022
aaeCAPTCHA: The Design and Implementation of Audio Adversarial CAPTCHA Md. Imran Hossen X. Hei 71 5 0 05 Mar 2022
3D Common Corruptions and Data Augmentation Oğuzhan Fatih Kar Teresa Yeo Andrei Atanov Amir Zamir 3DPC 130 114 0 02 Mar 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 82 10 0 02 Mar 2022
Benchmarking Robustness of Deep Learning Classifiers Using Two-Factor Perturbation Wei Dai Daniel Berleant VLM AAML 64 8 0 02 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 91 13 0 01 Mar 2022
Towards Robust Off-policy Learning for Runtime Uncertainty Da Xu Yuting Ye Chuanwei Ruan Bo Yang OffRL 57 5 0 27 Feb 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 69 3 0 24 Feb 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 61 18 0 24 Feb 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey Ngoc Dung Huynh Mohamed Reda Bouadjenek Imran Razzak Kevin Lee Chetan Arora Ali Hassani A. Zaslavsky AAML 65 6 0 22 Feb 2022
Learning Representations Robust to Group Shifts and Adversarial Examples Ming-Chang Chiu Xuezhe Ma OOD 49 0 0 18 Feb 2022