v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems Utku Ozbulak Baptist Vandersmissen A. Jalalvand Ivo Couckuyt Arnout Van Messem W. D. Neve AAML 31 19 0 26 Jan 2021
Can stable and accurate neural networks be computed? -- On the barriers of deep learning and Smale's 18th problem Matthew J. Colbrook Vegard Antun A. Hansen 119 136 0 20 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
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space Shihao Zhao Xingjun Ma Yisen Wang James Bailey Yue Liu Yu-Gang Jiang AAML 66 15 0 18 Jan 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving James Tu Huichen Li Xinchen Yan Mengye Ren Yun Chen Ming Liang E. Bitar Ersin Yumer R. Urtasun AAML 88 78 0 17 Jan 2021
Removing Undesirable Feature Contributions Using Out-of-Distribution Data Saehyung Lee Changhwa Park Hyungyu Lee Jihun Yi Jonghyun Lee Sungroh Yoon OODD 102 26 0 17 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
Untargeted, Targeted and Universal Adversarial Attacks and Defenses on Time Series Pradeep Rathore Arghya Basak S. Nistala Venkataramana Runkana AAML 80 42 0 13 Jan 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 256 195 0 13 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
Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective Pulei Xiong Scott Buffett Shahrear Iqbal Philippe Lamontagne M. Mamun Heather Molyneaux OOD 81 15 0 08 Jan 2021
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction Wei Zeng Chengqiao Lin Kang Liu Juncong Lin A. Tung 37 14 0 08 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 194 124 0 05 Jan 2021
Local Black-box Adversarial Attacks: A Query Efficient Approach Tao Xiang Hangcheng Liu Shangwei Guo Tianwei Zhang X. Liao AAML MLAU 46 15 0 04 Jan 2021
Patch-wise++ Perturbation for Adversarial Targeted Attacks Lianli Gao Qilong Zhang Jingkuan Song Heng Tao Shen AAML 111 19 0 31 Dec 2020
Analysis of Dominant Classes in Universal Adversarial Perturbations Jon Vadillo Roberto Santana Jose A. Lozano AAML 64 5 0 28 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 689 0 28 Dec 2020
On the Granularity of Explanations in Model Agnostic NLP Interpretability Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki MILM FAtt 83 3 0 24 Dec 2020
The Translucent Patch: A Physical and Universal Attack on Object Detectors Alon Zolfi Moshe Kravchik Yuval Elovici A. Shabtai AAML 67 89 0 23 Dec 2020
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework Pranay Sharma Kaidi Xu Sijia Liu Pin-Yu Chen Xue Lin P. Varshney 24 2 0 21 Dec 2020
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 129 147 0 21 Dec 2020
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification Shuyang Cheng Yingqi Liu Shiqing Ma Xinming Zhang AAML 103 160 0 21 Dec 2020
On Success and Simplicity: A Second Look at Transferable Targeted Attacks Zhengyu Zhao Zhuoran Liu Martha Larson AAML 167 126 0 21 Dec 2020
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks Jayendra Kantipudi S. Dubey Soumendu Chakraborty AAML 91 22 0 20 Dec 2020
AWA: Adversarial Website Adaptation A. M. Sadeghzadeh Behrad Tajali R. Jalili AAML 67 20 0 20 Dec 2020
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild Basel Alomair Aleksander Madry Yue Liu Tom Goldstein SILM 129 282 0 18 Dec 2020
A case for new neural network smoothness constraints Mihaela Rosca T. Weber Arthur Gretton S. Mohamed AAML 142 50 0 14 Dec 2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios Hassan Ali Surya Nepal S. Kanhere S. Jha AAML 60 13 0 14 Dec 2020
Robustness and Transferability of Universal Attacks on Compressed Models Alberto G. Matachana Kenneth T. Co Luis Muñoz-González David Martínez Emil C. Lupu AAML 48 10 0 10 Dec 2020
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers Bingyao Huang Haibin Ling AAML 79 20 0 10 Dec 2020
Locally optimal detection of stochastic targeted universal adversarial perturbations Amish Goel P. Moulin AAML 50 2 0 08 Dec 2020
Backpropagating Linearly Improves Transferability of Adversarial Examples Yiwen Guo Qizhang Li Hao Chen FedML AAML 82 116 0 07 Dec 2020
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 86 6 0 07 Dec 2020
PAC-Learning for Strategic Classification Ravi Sundaram A. Vullikanti Haifeng Xu Fan Yao AAML 106 44 0 06 Dec 2020
Detecting Trojaned DNNs Using Counterfactual Attributions Karan Sikka Indranil Sur Susmit Jha Anirban Roy Ajay Divakaran AAML 35 13 0 03 Dec 2020
Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack Ian Ryu Jun-Hyuk Kim Jun-Ho Choi Jong-Seok Lee AAML 97 17 0 30 Nov 2020
A Targeted Universal Attack on Graph Convolutional Network Jiazhu Dai Weifeng Zhu Xiangfeng Luo AAML GNN 44 20 0 29 Nov 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 58 0 0 28 Nov 2020
Adversarial Attack on Facial Recognition using Visible Light Morgan Frearson Kien Nguyen AAML 41 7 0 25 Nov 2020
Towards Imperceptible Universal Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 41 1 0 24 Nov 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 97 293 0 24 Nov 2020
Adversarial Threats to DeepFake Detection: A Practical Perspective Paarth Neekhara Brian Dolhansky Joanna Bitton Cristian Canton Ferrer AAML 61 85 0 19 Nov 2020
Multi-Task Adversarial Attack Pengxin Guo Yuancheng Xu Baijiong Lin Yu Zhang AAML 50 8 0 19 Nov 2020
Adversarial collision attacks on image hashing functions Brian Dolhansky Cristian Canton Ferrer AAML 118 21 0 18 Nov 2020
Adversarial Turing Patterns from Cellular Automata Nurislam Tursynbek I. Vilkoviskiy Maria Sindeeva Ivan Oseledets AAML 47 4 0 18 Nov 2020
On the Transferability of Adversarial Attacksagainst Neural Text Classifier Liping Yuan Xiaoqing Zheng Yi Zhou Cho-Jui Hsieh Kai-Wei Chang SILM AAML 71 26 0 17 Nov 2020
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection Faisal Alamri Sinan Kalkan N. Pugeault ViT 46 7 0 13 Nov 2020
A survey on practical adversarial examples for malware classifiers Daniel Park B. Yener AAML 96 16 0 06 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection Hao Fu A. Veldanda Prashanth Krishnamurthy S. Garg Farshad Khorrami AAML 74 14 0 04 Nov 2020
Adversarial Examples in Constrained Domains Ryan Sheatsley Nicolas Papernot Mike Weisman Gunjan Verma Patrick McDaniel AAML 69 24 0 02 Nov 2020