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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

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Title
Feature Losses for Adversarial Robustness K. Sivamani AAML 27 0 0 10 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 76 57 0 06 Dec 2019
The Search for Sparse, Robust Neural Networks J. Cosentino Federico Zaiter Dan Pei Jun Zhu AAML OOD 48 18 0 05 Dec 2019
A Survey of Game Theoretic Approaches for Adversarial Machine Learning in Cybersecurity Tasks P. Dasgupta J. B. Collins AAML 46 43 0 04 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models Daniel Zoran Mike Chrzanowski Po-Sen Huang Sven Gowal Alex Mott Pushmeet Kohli AAML 66 61 0 04 Dec 2019
A Survey of Black-Box Adversarial Attacks on Computer Vision Models Siddhant Bhambri Sumanyu Muku Avinash Tulasi Arun Balaji Buduru AAML VLM 72 79 0 03 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds Abdullah Hamdi Sara Rojas Ali K. Thabet Guohao Li AAML 3DPC 122 131 0 01 Dec 2019
Data Poisoning Attacks on Neighborhood-based Recommender Systems Liang Chen Yangjun Xu Fenfang Xie Min Huang Zibin Zheng AAML 58 35 0 01 Dec 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks Krishna Kanth Nakka Mathieu Salzmann SSeg AAML 64 31 0 29 Nov 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 56 14 0 28 Nov 2019
Using Depth for Pixel-Wise Detection of Adversarial Attacks in Crowd Counting Weizhe Liu Mathieu Salzmann Pascal Fua AAML 81 9 0 26 Nov 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 76 19 0 25 Nov 2019
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction Yantao Lu Yunhan Jia Jianyu Wang Bai Li Weiheng Chai Lawrence Carin Senem Velipasalar AAML 74 81 0 22 Nov 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 192 568 0 21 Nov 2019
Heuristic Black-box Adversarial Attacks on Video Recognition Models Zhipeng Wei Jingjing Chen Xingxing Wei Linxi Jiang Tat-Seng Chua Fengfeng Zhou Yueping Jiang AAML 81 70 0 21 Nov 2019
Deep Minimax Probability Machine Lirong He Ziyi Guo Kaizhu Huang Zenglin Xu AAML 37 2 0 20 Nov 2019
Adversarial Robustness of Flow-Based Generative Models Phillip E. Pope Yogesh Balaji Soheil Feizi AAML 48 20 0 20 Nov 2019
Robust Deep Neural Networks Inspired by Fuzzy Logic Minh Le OOD AAML AI4CE 118 0 0 20 Nov 2019
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 55 3 0 19 Nov 2019
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks Alvin Chan Yew-Soon Ong AAML 72 43 0 19 Nov 2019
Justification-Based Reliability in Machine Learning Nurali Virani N. Iyer Zhaoyuan Yang 34 19 0 18 Nov 2019
Black-Box Adversarial Attack with Transferable Model-based Embedding Zhichao Huang Tong Zhang 77 119 0 17 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 83 7 0 16 Nov 2019
AdvKnn: Adversarial Attacks On K-Nearest Neighbor Classifiers With Approximate Gradients Xiaodan Li YueFeng Chen Yuan He Hui Xue OOD AAML 38 9 0 15 Nov 2019
Learning To Characterize Adversarial Subspaces Xiaofeng Mao YueFeng Chen Yuhong Li Yuan He Hui Xue AAML 76 11 0 15 Nov 2019
On Model Robustness Against Adversarial Examples Shufei Zhang Kaizhu Huang Zenglin Xu AAML 41 0 0 15 Nov 2019
Adversarial Embedding: A robust and elusive Steganography and Watermarking technique Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon WIGM AAML 50 7 0 14 Nov 2019
There is Limited Correlation between Coverage and Robustness for Deep Neural Networks Yizhen Dong Peixin Zhang Jingyi Wang Shuang Liu Jun Sun Jianye Hao Xinyu Wang Li Wang J. Dong Ting Dai OOD AAML 76 32 0 14 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review R. Wiyatno Anqi Xu Ousmane Amadou Dia A. D. Berker AAML 127 105 0 13 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 86 31 0 11 Nov 2019
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy Xinghua Qu Zhu Sun Yew-Soon Ong Abhishek Gupta Pengfei Wei AAML OffRL 104 35 0 10 Nov 2019
Imperceptible Adversarial Attacks on Tabular Data Vincent Ballet X. Renard Jonathan Aigrain Thibault Laugel P. Frossard Marcin Detyniecki 107 76 0 08 Nov 2019
Adversarial Attacks on GMM i-vector based Speaker Verification Systems Xu Li Jinghua Zhong Xixin Wu Jianwei Yu Xunying Liu Helen Meng AAML 74 79 0 08 Nov 2019
DLA: Dense-Layer-Analysis for Adversarial Example Detection Philip Sperl Ching-yu Kao Peng Chen Konstantin Böttinger AAML 61 34 0 05 Nov 2019
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models Ren Pang Hua Shen Xinyang Zhang S. Ji Yevgeniy Vorobeychik Xiaopu Luo Alex Liu Ting Wang AAML 64 2 0 05 Nov 2019
Fast-UAP: An Algorithm for Speeding up Universal Adversarial Perturbation Generation with Orientation of Perturbation Vectors Jiazhu Dai Le Shu AAML 50 3 0 04 Nov 2019
Reporting on Decision-Making Algorithms and some Related Ethical Questions B. Otjacques 16 0 0 04 Nov 2019
Certified Adversarial Robustness for Deep Reinforcement Learning Björn Lütjens Michael Everett Jonathan P. How AAML 107 96 0 28 Oct 2019
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks Yaguan Qian Daniel Ma Bin Wang Jun Pan Jiamin Wang Jian-Hai Chen Wujie Zhou Jing-Sheng Lei AAML 34 29 0 27 Oct 2019
Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization Kaiyi Ji Zhe Wang Yi Zhou Yingbin Liang 91 77 0 27 Oct 2019
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries Xingxing Zhang Shupeng Gui Zhenfeng Zhu Yao Zhao Ji Liu VLM 56 6 0 24 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images Dan Peng Zizhan Zheng Linhao Luo Xiaofeng Zhang AAML 70 2 0 22 Oct 2019
Recovering Localized Adversarial Attacks Jan Philip Göpfert H. Wersing Barbara Hammer AAML FAtt 19 4 0 21 Oct 2019
Are Perceptually-Aligned Gradients a General Property of Robust Classifiers? Simran Kaur Jeremy M. Cohen Zachary Chase Lipton OOD AAML 69 66 0 18 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 127 103 0 16 Oct 2019
A Generalized and Robust Method Towards Practical Gaze Estimation on Smart Phone Tianchu Guo Yongchao Liu Hui Zhang Xiabing Liu Youngjun Kwak ByungIn Yoo Jae-Joon Han Changkyu Choi 65 38 0 16 Oct 2019
Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey Bin Qian Jie Su Z. Wen D. N. Jha Yinhao Li ... Albert Y. Zomaya Omer F. Rana Lizhe Wang Maciej Koutny R. Ranjan 73 4 0 11 Oct 2019
Information Aware Max-Norm Dirichlet Networks for Predictive Uncertainty Estimation Theodoros Tsiligkaridis UQCV BDL 46 8 0 10 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 108 15 0 10 Oct 2019
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation Guangyu Shen Chengzhi Mao Junfeng Yang Baishakhi Ray GAN 52 12 0 06 Oct 2019