Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 530 papers shown

Title
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 10 63 0 26 Oct 2020
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 26 62 0 21 Oct 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback Jiancheng Yang Yangzhou Jiang Xiaoyang Huang Bingbing Ni Chenglong Zhao AAML 18 81 0 21 Oct 2020
A Hamiltonian Monte Carlo Method for Probabilistic Adversarial Attack and Learning Hongjun Wang Guanbin Li Xiaobai Liu Liang Lin GAN AAML 16 22 0 15 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 35 48 0 07 Oct 2020
Adversarial Boot Camp: label free certified robustness in one epoch Ryan Campbell Chris Finlay Adam M. Oberman AAML 20 0 0 05 Oct 2020
Block-wise Image Transformation with Secret Key for Adversarially Robust Defense Maungmaung Aprilpyone Hitoshi Kiya 26 57 0 02 Oct 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 9 17 0 21 Sep 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing-Wu Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 34 33 0 19 Sep 2020
Certifying Confidence via Randomized Smoothing Aounon Kumar Alexander Levine S. Feizi Tom Goldstein UQCV 30 39 0 17 Sep 2020
Input Hessian Regularization of Neural Networks Waleed Mustafa Robert A. Vandermeulen Marius Kloft AAML 19 12 0 14 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 25 23 0 11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 155 0 08 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 42 48 0 02 Sep 2020
Open-set Adversarial Defense Rui Shao Pramuditha Perera P. Yuen Vishal M. Patel AAML 15 30 0 02 Sep 2020
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition Ping Liu Yuewei Lin Zibo Meng Lu Lu Weihong Deng Qiufeng Wang Yi Yang 21 26 0 26 Aug 2020
Rethinking Non-idealities in Memristive Crossbars for Adversarial Robustness in Neural Networks Abhiroop Bhattacharjee Priyadarshini Panda AAML 22 19 0 25 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 24 51 0 20 Aug 2020
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training Alfred Laugros A. Caplier Matthieu Ospici AAML 19 19 0 19 Aug 2020
Adversarial Training and Provable Robustness: A Tale of Two Objectives Jiameng Fan Wenchao Li AAML 17 20 0 13 Aug 2020
Defending Adversarial Examples via DNN Bottleneck Reinforcement Wenqing Liu Miaojing Shi Teddy Furon Li Li AAML 18 8 0 12 Aug 2020
An Empirical Analysis of Backward Compatibility in Machine Learning Systems Megha Srivastava Besmira Nushi Ece Kamar S. Shah Eric Horvitz AAML 24 44 0 11 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 25 73 0 07 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 30 90 0 31 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat F. Khan Fatih Porikli GAN AAML 28 16 0 29 Jul 2020
RANDOM MASK: Towards Robust Convolutional Neural Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Liwei Wang AAML OOD 19 17 0 27 Jul 2020
Towards Visual Distortion in Black-Box Attacks Nannan Li Zhenzhong Chen 16 12 0 21 Jul 2020
Backpropagated Gradient Representations for Anomaly Detection Gukyeong Kwon Mohit Prabhushankar Dogancan Temel Ghassan AlRegib 14 71 0 18 Jul 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 12 33 0 16 Jul 2020
Robustifying Reinforcement Learning Agents via Action Space Adversarial Training Kai Liang Tan Yasaman Esfandiari Xian Yeow Lee Aakanksha S. Sarkar AAML 26 55 0 14 Jul 2020
Patch-wise Attack for Fooling Deep Neural Network Lianli Gao Qilong Zhang Jingkuan Song Xianglong Liu Heng Tao Shen AAML 26 137 0 14 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems H. Abdullah Kevin Warren Vincent Bindschaedler Nicolas Papernot Patrick Traynor AAML 24 128 0 13 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 23 57 0 08 Jul 2020
Suggestive Annotation of Brain Tumour Images with Gradient-guided Sampling Chengliang Dai Shuo Wang Yuanhan Mo Kaichen Zhou Elsa D. Angelini Yike Guo Wenjia Bai MedIm 22 33 0 26 Jun 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World Emily Wenger Josephine Passananti A. Bhagoji Yuanshun Yao Haitao Zheng Ben Y. Zhao AAML 29 200 0 25 Jun 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko E. Burnaev AAML SILM 29 5 0 19 Jun 2020
Counterexample-Guided Learning of Monotonic Neural Networks Aishwarya Sivaraman G. Farnadi T. Millstein Mathias Niepert 24 50 0 16 Jun 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances Meisam Razaviyayn Tianjian Huang Songtao Lu Maher Nouiehed Maziar Sanjabi Mingyi Hong 19 108 0 15 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 22 2 0 12 Jun 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 26 9 0 08 Jun 2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition Tianhang Zheng Sheng Liu Changyou Chen Junsong Yuan Baochun Li K. Ren AAML 21 17 0 14 May 2020
Class-Aware Domain Adaptation for Improving Adversarial Robustness Xianxu Hou Jingxin Liu Bolei Xu Xiaolong Wang Bozhi Liu Guoping Qiu OOD AAML 40 8 0 10 May 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J Liang Lawrence Carin Yiran Chen AAML 25 84 0 27 Apr 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng Xinming Zhang GAN AAML 25 25 0 26 Apr 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 10 76 0 24 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 26 8 0 23 Apr 2020
The Attacker's Perspective on Automatic Speaker Verification: An Overview Rohan Kumar Das Xiaohai Tian Tomi Kinnunen Haizhou Li AAML 20 81 0 19 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 16 71 0 18 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning Michael Everett Bjorn Lutjens Jonathan P. How AAML 13 41 0 11 Apr 2020