v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
Hijack Vertical Federated Learning Models As One Party Pengyu Qiu Xuhong Zhang Shouling Ji Changjiang Li Yuwen Pu Xing Yang Ting Wang FedML 117 5 0 01 Dec 2022
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations Haniyeh Ehsani Oskouie Farzan Farnia FAtt AAML 75 5 0 30 Nov 2022
Backdoor Vulnerabilities in Normally Trained Deep Learning Models Guanhong Tao Zhenting Wang Shuyang Cheng Shiqing Ma Shengwei An Yingqi Liu Guangyu Shen Zhuo Zhang Yunshu Mao Xiangyu Zhang SILM 73 17 0 29 Nov 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 63 9 0 29 Nov 2022
Data Poisoning Attack Aiming the Vulnerability of Continual Learning Gyojin Han Jaehyun Choi H. Hong Junmo Kim AAML 35 2 0 29 Nov 2022
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 114 22 0 28 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 185 0 0 18 Nov 2022
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events Bibek Upadhayay Vahid Behzadan AAML 61 0 0 18 Nov 2022
Potential Auto-driving Threat: Universal Rain-removal Attack Jincheng Hu Jihao Li Zhuoran Hou Jingjing Jiang Cunjia Liu Yuanjian Zhang AAML 58 5 0 18 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 66 2 0 04 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems Amira Guesmi Ihsen Alouani AAML 64 2 0 02 Nov 2022
Maximum Likelihood Distillation for Robust Modulation Classification Javier Maroto Gérôme Bovet P. Frossard AAML 47 6 0 01 Nov 2022
The Enemy of My Enemy is My Friend: Exploring Inverse Adversaries for Improving Adversarial Training Junhao Dong Seyed-Mohsen Moosavi-Dezfooli Jianhuang Lai Xiaohua Xie AAML 112 29 0 01 Nov 2022
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 81 17 0 01 Nov 2022
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 41 0 0 28 Oct 2022
Rethinking the Reverse-engineering of Trojan Triggers Zhenting Wang Kai Mei Hailun Ding Juan Zhai Shiqing Ma 82 45 0 27 Oct 2022
LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels Jiebao Zhang Wenhua Qian Ren-qi Nie Jinde Cao Dan Xu AAML 68 6 0 26 Oct 2022
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network Hua Hua Jun Yan Xi Fang Weiquan Huang Huilin Yin Wancheng Ge AAML 63 1 0 25 Oct 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers Jian Wang Miaomiao Zhang 82 10 0 25 Oct 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 86 13 0 21 Oct 2022
Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks Jiyang Guan Jian Liang Ran He AAML MLAU 111 31 0 21 Oct 2022
New data poison attacks on machine learning classifiers for mobile exfiltration M. A. Ramírez Sangyoung Yoon Ernesto Damiani H. A. Hamadi C. Ardagna Nicola Bena Young-Ji Byon Tae-Yeon Kim C. Cho C. Yeun AAML 79 4 0 20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 98 6 0 19 Oct 2022
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers Ruidi Chen Boran Hao I. Paschalidis 82 6 0 15 Oct 2022
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient F. Nikfam Alberto Marchisio Maurizio Martina Mohamed Bennai AAML 53 0 0 13 Oct 2022
Improving Out-of-Distribution Generalization by Adversarial Training with Structured Priors Qixun Wang Yifei Wang Hong Zhu Yisen Wang OOD 49 20 0 13 Oct 2022
Detecting Backdoors in Deep Text Classifiers Youyan Guo Jun Wang Trevor Cohn SILM 92 1 0 11 Oct 2022
Repainting and Imitating Learning for Lane Detection Yue He Minyue Jiang Xiaoqing Ye Liang Du Zhikang Zou Wei Zhang Xiao Tan Errui Ding 53 1 0 11 Oct 2022
Universal Adversarial Perturbations: Efficiency on a small image dataset Waris Radji AAML 15 0 0 10 Oct 2022
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs Prashant Pandey Aleti Vardhan Mustafa Chasmai Tanuj Sur Brejesh Lall AAML 57 9 0 07 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 98 24 0 07 Oct 2022
Dynamic Stochastic Ensemble with Adversarial Robust Lottery Ticket Subnetworks Qi Peng Wen-ling Liu Ruoxi Qin Libin Hou Bin Yan Linyuan Wang AAML 74 3 0 06 Oct 2022
Decompiling x86 Deep Neural Network Executables Zhibo Liu Yuanyuan Yuan Shuai Wang Xiaofei Xie Lei Ma AAML 82 15 0 03 Oct 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 151 39 0 28 Sep 2022
Attacking Compressed Vision Transformers Swapnil Parekh Devansh Shah Pratyush Shukla AAML 48 1 0 28 Sep 2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection Svetlana Pavlitskaya Jonas Hendl Sebastian Kleim Leopold Müller Fabian Wylczoch J. Marius Zöllner AAML 72 4 0 27 Sep 2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation Zhixing Ye Xinwen Cheng Xiaolin Huang AAML 108 11 0 27 Sep 2022
Quantile-constrained Wasserstein projections for robust interpretability of numerical and machine learning models Marouane Il Idrissi Nicolas Bousquet Fabrice Gamboa Bertrand Iooss Jean-Michel Loubes 104 3 0 23 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 232 166 0 20 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 77 3 0 19 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 83 35 0 08 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 176 14 0 02 Sep 2022
Impact of Colour Variation on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi AAML OOD 50 1 0 02 Sep 2022
Impact of Scaled Image on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi 24 2 0 02 Sep 2022
Universal Fourier Attack for Time Series Elizabeth Coda B. Clymer Chance N. DeSmet Y. Watkins Michael Girard 89 1 0 02 Sep 2022
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs Prashant Pandey Mustafa Chasmai Tanuj Sur Brejesh Lall 114 11 0 26 Aug 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps Mohammadreza Amirian Friedhelm Schwenker Thilo Stadelmann AAML 74 16 0 24 Aug 2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection Svetlana Pavlitskaya Nikolai Polley Michael Weber J. Marius Zöllner AAML 63 3 0 23 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 94 10 0 22 Aug 2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer Tong Wang Yuan Yao F. Xu Miao Xu Shengwei An Ting Wang AAML 67 2 0 13 Aug 2022