v1v2 (latest)

Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Graph Backdoor Zhaohan Xi Ren Pang S. Ji Ting Wang AI4CE AAML 85 174 0 21 Jun 2020
Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers I. Fursov A. Zaytsev Nikita Klyuchnikov A. Kravchenko Evgeny Burnaev AAML SILM 51 5 0 19 Jun 2020
Towards an Adversarially Robust Normalization Approach Muhammad Awais Fahad Shamshad Sung-Ho Bae AAML OOD 120 19 0 19 Jun 2020
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions Lokender Tiwari Anish Madan Saket Anand Subhashis Banerjee AAML 39 1 0 18 Jun 2020
Adversarial Defense by Latent Style Transformations Shuo Wang Surya Nepal A. Abuadbba Carsten Rudolph M. Grobler AAML 38 11 0 17 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 188 608 0 16 Jun 2020
Counterexample-Guided Learning of Monotonic Neural Networks Aishwarya Sivaraman G. Farnadi T. Millstein Guy Van den Broeck 62 53 0 16 Jun 2020
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data Zhun Deng Linjun Zhang Amirata Ghorbani James Zou 99 32 0 15 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 77 116 0 15 Jun 2020
On the transferability of adversarial examples between convex and 01 loss models Yunzhe Xue Meiyan Xie Usman Roshan AAML 29 7 0 14 Jun 2020
D-square-B: Deep Distribution Bound for Natural-looking Adversarial Attack Qiuling Xu Guanhong Tao Xiangyu Zhang AAML 85 2 0 12 Jun 2020
On the Tightness of Semidefinite Relaxations for Certifying Robustness to Adversarial Examples Richard Y. Zhang AAML 65 26 0 11 Jun 2020
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification Xu Li Na Li Jinghua Zhong Xixin Wu Xunying Liu Jane Polak Scowcroft Dong Yu Helen Meng AAML 93 37 0 11 Jun 2020
Deterministic Gaussian Averaged Neural Networks Ryan Campbell Chris Finlay Adam M. Oberman FedML 27 1 0 10 Jun 2020
GAP++: Learning to generate target-conditioned adversarial examples Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 78 8 0 09 Jun 2020
A Self-supervised Approach for Adversarial Robustness Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli AAML 93 262 0 08 Jun 2020
A Stochastic Subgradient Method for Distributionally Robust Non-Convex Learning Mert Gurbuzbalaban A. Ruszczynski Landi Zhu 63 9 0 08 Jun 2020
Tricking Adversarial Attacks To Fail Blerta Lindqvist AAML 48 0 0 08 Jun 2020
Towards Understanding Fast Adversarial Training Bai Li Shiqi Wang Suman Jana Lawrence Carin AAML 78 50 0 04 Jun 2020
Second-Order Provable Defenses against Adversarial Attacks Sahil Singla Soheil Feizi AAML 74 60 0 01 Jun 2020
Enhancing Resilience of Deep Learning Networks by Means of Transferable Adversaries M. Seiler Heike Trautmann P. Kerschke AAML 24 0 0 27 May 2020
Arms Race in Adversarial Malware Detection: A Survey Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 103 52 0 24 May 2020
A survey on Adversarial Recommender Systems: from Attack/Defense strategies to Generative Adversarial Networks Yashar Deldjoo Tommaso Di Noia Felice Antonio Merra AAML 43 6 0 20 May 2020
Enhancing Certified Robustness via Smoothed Weighted Ensembling Chizhou Liu Yunzhen Feng Ranran Wang Bin Dong AAML 80 12 0 19 May 2020
Spatiotemporal Attacks for Embodied Agents Aishan Liu Tairan Huang Xianglong Liu Yitao Xu Yuqing Ma Xinyun Chen Stephen J. Maybank Dacheng Tao AAML 14 0 0 19 May 2020
Defending Your Voice: Adversarial Attack on Voice Conversion Chien-yu Huang Yist Y. Lin Hung-yi Lee Lin-Shan Lee AAML 87 52 0 18 May 2020
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition Tianhang Zheng Sheng Liu Changyou Chen Junsong Yuan Baochun Li K. Ren AAML 83 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 127 9 0 10 May 2020
Adversarial Learning for Supervised and Semi-supervised Relation Extraction in Biomedical Literature P. Su K. Vijay-Shanker 20 2 0 08 May 2020
Lifted Regression/Reconstruction Networks R. Høier Christopher Zach 31 7 0 07 May 2020
A Review of Computer Vision Methods in Network Security Jiawei Zhao Rahat Masood Suranga Seneviratne AAML 52 48 0 07 May 2020
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security Ankita Shukla Pavan Turaga Saket Anand AAML 39 1 0 06 May 2020
Secure Deep Graph Generation with Link Differential Privacy Carl Yang Haonan Wang Ke Zhang Liang Chen Lichao Sun 76 41 0 01 May 2020
Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability Nathan Inkawhich Kevin J. Liang Binghui Wang Matthew J. Inkawhich Lawrence Carin Yiran Chen AAML 90 90 0 29 Apr 2020
Transferable Perturbations of Deep Feature Distributions Nathan Inkawhich Kevin J. Liang Lawrence Carin Yiran Chen AAML 73 87 0 27 Apr 2020
Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks Kang Liu Benjamin Tan Gaurav Rajavendra Reddy S. Garg Yiorgos Makris Ramesh Karri AAML 49 9 0 26 Apr 2020
Towards Feature Space Adversarial Attack Qiuling Xu Guanhong Tao Shuyang Cheng Xinming Zhang GAN AAML 75 25 0 26 Apr 2020
Improved Adversarial Training via Learned Optimizer Yuanhao Xiong Cho-Jui Hsieh AAML 81 31 0 25 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 60 79 0 24 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Helen Zhou AAML 63 8 0 23 Apr 2020
Ensemble Generative Cleaning with Feedback Loops for Defending Adversarial Attacks Jianhe Yuan Zhihai He AAML 64 22 0 23 Apr 2020
Provably robust deep generative models Filipe Condessa Zico Kolter AAML OOD 38 5 0 22 Apr 2020
Headless Horseman: Adversarial Attacks on Transfer Learning Models Ahmed Abdelkader Michael J. Curry Liam H. Fowl Tom Goldstein Avi Schwarzschild Manli Shu Christoph Studer Chen Zhu 64 5 0 20 Apr 2020
The Attacker's Perspective on Automatic Speaker Verification: An Overview Rohan Kumar Das Xiaohai Tian Tomi Kinnunen Haizhou Li AAML 68 80 0 19 Apr 2020
Dynamic Knowledge Graph-based Dialogue Generation with Improved Adversarial Meta-Learning Hongcai Xu J. Bao Gaojie Zhang 82 8 0 19 Apr 2020
Single-step Adversarial training with Dropout Scheduling S. VivekB. R. Venkatesh Babu OOD AAML 65 73 0 18 Apr 2020
Adversarial Attack on Deep Learning-Based Splice Localization Andras Rozsa Zheng Zhong Terrance E. Boult AAML 43 4 0 17 Apr 2020
Online Social Deception and Its Countermeasures for Trustworthy Cyberspace: A Survey Zhen Guo Jin-Hee Cho I. Chen Srijan Sengupta Michin Hong Tanushree Mitra 37 3 0 16 Apr 2020
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations Md Rafiqul Islam Rabin Mohammad Amin Alipour NAI 82 20 0 15 Apr 2020
A Framework for Enhancing Deep Neural Networks Against Adversarial Malware Deqiang Li Qianmu Li Yanfang Ye Shouhuai Xu AAML 75 13 0 15 Apr 2020