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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
Exploiting epistemic uncertainty of the deep learning models to generate adversarial samples Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 90 33 0 08 Feb 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation Wuxinlin Cheng Chenhui Deng Zhiqiang Zhao Yaohui Cai Zhiru Zhang Zhuo Feng AAML 86 14 0 07 Feb 2021
Extremal learning: extremizing the output of a neural network in regression problems Zakaria Patel M. Rummel 45 4 0 06 Feb 2021
Optimal Transport as a Defense Against Adversarial Attacks Quentin Bouniot Romaric Audigier Angélique Loesch AAML OOD 32 9 0 05 Feb 2021
Adversarial Training Makes Weight Loss Landscape Sharper in Logistic Regression Masanori Yamada Sekitoshi Kanai Tomoharu Iwata Tomokatsu Takahashi Yuki Yamanaka Hiroshi Takahashi Atsutoshi Kumagai AAML 126 9 0 05 Feb 2021
Adversarial Robustness Study of Convolutional Neural Network for Lumbar Disk Shape Reconstruction from MR images Jiasong Chen Linchen Qian Timur Urakov Weiyong Gu Liang Liang AAML OOD 50 13 0 04 Feb 2021
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks Yixiang Wang Jiqiang Liu Xiaolin Chang J. Misic Vojislav B. Mišić AAML 71 12 0 03 Feb 2021
Recent Advances in Adversarial Training for Adversarial Robustness Tao Bai Jinqi Luo Jun Zhao Bihan Wen Qian Wang AAML 202 496 0 02 Feb 2021
Robust Adversarial Attacks Against DNN-Based Wireless Communication Systems Alireza Bahramali Milad Nasr Amir Houmansadr Dennis Goeckel Don Towsley AAML 76 58 0 01 Feb 2021
Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction Pu Sun Yuezun Li H. Qi Siwei Lyu 55 17 0 01 Feb 2021
Adversarial Learning with Cost-Sensitive Classes Hao Shen Sihong Chen Ran Wang Xizhao Wang AAML 77 11 0 29 Jan 2021
Increasing the Confidence of Deep Neural Networks by Coverage Analysis Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 71 15 0 28 Jan 2021
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning Hemant Rathore S. K. Sahay Piyush Nikam Mohit Sewak AAML 95 62 0 27 Jan 2021
Re-imagining Algorithmic Fairness in India and Beyond Nithya Sambasivan Erin Arnesen Ben Hutchinson Tulsee Doshi Vinodkumar Prabhakaran FaML 114 188 0 25 Jan 2021
Online Adversarial Purification based on Self-Supervision Changhao Shi Chester Holtz Zhengchao Wan AAML 82 57 0 23 Jan 2021
Fooling thermal infrared pedestrian detectors in real world using small bulbs Xiaopei Zhu Xiao-Li Li Jianmin Li Zheyao Wang Xiaolin Hu AAML 183 89 0 20 Jan 2021
PICA: A Pixel Correlation-based Attentional Black-box Adversarial Attack Jie Wang Z. Yin Jin Tang Jing Jiang Bin Luo AAML 64 2 0 19 Jan 2021
Attention-Guided Black-box Adversarial Attacks with Large-Scale Multiobjective Evolutionary Optimization Jie Wang Z. Yin Jing Jiang Yang Du AAML 103 9 0 19 Jan 2021
Fundamental Tradeoffs in Distributionally Adversarial Training M. Mehrabi Adel Javanmard Ryan A. Rossi Anup B. Rao Tung Mai AAML 68 18 0 15 Jan 2021
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data Gaurav Kumar Nayak Konda Reddy Mopuri Saksham Jain Anirban Chakraborty 68 14 0 15 Jan 2021
Scaling the Convex Barrier with Sparse Dual Algorithms Alessandro De Palma Harkirat Singh Behl Rudy Bunel Philip Torr M. P. Kumar 112 9 0 14 Jan 2021
Adversarial Machine Learning in Text Analysis and Generation I. Alsmadi AAML 114 5 0 14 Jan 2021
Random Transformation of Image Brightness for Adversarial Attack Bo Yang Kaiyong Xu Hengjun Wang Hengwei Zhang AAML 52 8 0 12 Jan 2021
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing Andreas Bär Jonas Löhdefink Nikhil Kapoor Serin Varghese Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 192 35 0 11 Jan 2021
DiPSeN: Differentially Private Self-normalizing Neural Networks For Adversarial Robustness in Federated Learning Olakunle Ibitoye M. O. Shafiq Ashraf Matrawy FedML 55 19 0 08 Jan 2021
Adversarial Machine Learning for 5G Communications Security Y. Sagduyu T. Erpek Yi Shi AAML 85 43 0 07 Jan 2021
Robust Text CAPTCHAs Using Adversarial Examples Rulin Shao Zhouxing Shi Jinfeng Yi Pin-Yu Chen Cho-Jui Hsieh AAML 105 16 0 07 Jan 2021
Understanding the Error in Evaluating Adversarial Robustness Pengfei Xia Ziqiang Li Hongjing Niu Bin Li AAML ELM 78 5 0 07 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 139 101 0 04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 124 19 0 31 Dec 2020
Improving Adversarial Robustness in Weight-quantized Neural Networks Chang Song Elias Fallon Hai Helen Li AAML 61 19 0 29 Dec 2020
Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training Theodoros Tsiligkaridis Jay Roberts AAML 206 11 0 22 Dec 2020
Unadversarial Examples: Designing Objects for Robust Vision Hadi Salman Andrew Ilyas Logan Engstrom Sai H. Vemprala Aleksander Madry Ashish Kapoor WIGM 130 59 0 22 Dec 2020
Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach Xuefei Ning Jiaqi Zhao Wenshuo Li Tianchen Zhao Yin Zheng Huazhong Yang Yu Wang AAML 95 5 0 22 Dec 2020
Genetic Adversarial Training of Decision Trees Francesco Ranzato Marco Zanella 39 15 0 21 Dec 2020
The Danger of Reverse-Engineering of Automated Judicial Decision-Making Systems Masha Medvedeva Martijn B. Wieling Michel Vols ELM SILM 22 1 0 18 Dec 2020
Adversarially Robust Estimate and Risk Analysis in Linear Regression Yue Xing Ruizhi Zhang Guang Cheng AAML 64 28 0 18 Dec 2020
A Hierarchical Feature Constraint to Camouflage Medical Adversarial Attacks Qingsong Yao Zecheng He Yi Lin Kai Ma Yefeng Zheng S. Kevin Zhou AAML MedIm 109 16 0 17 Dec 2020
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems Lu Chen Jiao Sun Wenyuan Xu AAML 35 16 0 15 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 145 50 0 14 Dec 2020
Robustness Threats of Differential Privacy Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets AAML 97 14 0 14 Dec 2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints X. Li Xiangrui Li Deng Pan D. Zhu AAML 71 17 0 14 Dec 2020
Achieving Adversarial Robustness Requires An Active Teacher Chao Ma Lexing Ying 71 1 0 14 Dec 2020
Learning Energy-Based Models With Adversarial Training Xuwang Yin Shiying Li Gustavo K. Rohde AAML DiffM 129 9 0 11 Dec 2020
Closeness and Uncertainty Aware Adversarial Examples Detection in Adversarial Machine Learning Ömer Faruk Tuna Ferhat Ozgur Catak M. T. Eskil AAML 83 11 0 11 Dec 2020
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers Bingyao Huang Haibin Ling AAML 79 20 0 10 Dec 2020
An Empirical Review of Adversarial Defenses Ayush Goel AAML 37 0 0 10 Dec 2020
Generating Out of Distribution Adversarial Attack using Latent Space Poisoning Ujjwal Upadhyay Prerana Mukherjee 82 7 0 09 Dec 2020
Mitigating the Impact of Adversarial Attacks in Very Deep Networks Mohammed Hassanin Ibrahim Radwan Nour Moustafa M. Tahtali Neeraj Kumar AAML 38 6 0 08 Dec 2020
Reinforcement Based Learning on Classification Task Could Yield Better Generalization and Adversarial Accuracy Shashi Kant Gupta OOD 27 3 0 08 Dec 2020