Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,266 papers shown

Title
Imperceptible Adversarial Attack via Invertible Neural Networks Zihan Chen Zifan Wang Junjie Huang Wentao Zhao Xiao Liu Dejian Guan AAML 36 20 0 28 Nov 2022
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 26 0 0 18 Nov 2022
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events Bibek Upadhayay Vahid Behzadan AAML 18 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 24 4 0 18 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks Morgane Goibert Thomas Ricatte Elvis Dohmatob AAML 21 2 0 04 Nov 2022
Adversarial Attack on Radar-based Environment Perception Systems Amira Guesmi Ihsen Alouani AAML 35 2 0 02 Nov 2022
Maximum Likelihood Distillation for Robust Modulation Classification Javier Maroto Gérôme Bovet P. Frossard AAML 23 5 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 50 28 0 01 Nov 2022
Universal Perturbation Attack on Differentiable No-Reference Image- and Video-Quality Metrics E. Shumitskaya Anastasia Antsiferova D. Vatolin 33 16 0 01 Nov 2022
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 14 0 0 28 Oct 2022
Rethinking the Reverse-engineering of Trojan Triggers Zhenting Wang Kai Mei Hailun Ding Juan Zhai Shiqing Ma 20 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 27 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 30 1 0 25 Oct 2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers Jian Wang Miaomiao Zhang 58 10 0 25 Oct 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training Noel Loo Ramin Hasani Alexander Amini Daniela Rus AAML 44 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 52 29 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 33 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 56 5 0 19 Oct 2022
Distributionally Robust Multiclass Classification and Applications in Deep Image Classifiers Ruidi Chen Boran Hao I. Paschalidis 21 5 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 34 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 22 19 0 13 Oct 2022
Detecting Backdoors in Deep Text Classifiers Youyan Guo Jun Wang Trevor Cohn SILM 42 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 18 1 0 11 Oct 2022
Universal Adversarial Perturbations: Efficiency on a small image dataset Waris Radji AAML 9 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 27 9 0 07 Oct 2022
Pre-trained Adversarial Perturbations Y. Ban Yinpeng Dong AAML 64 23 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 11 3 0 06 Oct 2022
Decompiling x86 Deep Neural Network Executables Zhibo Liu Yuanyuan Yuan Shuai Wang Xiaofei Xie Lei Ma AAML 45 13 0 03 Oct 2022
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 68 38 0 28 Sep 2022
Attacking Compressed Vision Transformers Swapnil Parekh Devansh Shah Pratyush Shukla AAML 24 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 25 4 0 27 Sep 2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation Zhixing Ye Xinwen Cheng Xiaolin Huang AAML 74 10 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 41 3 0 23 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection Andrija Djurisic Nebojsa Bozanic Arjun Ashok Rosanne Liu OODD 172 152 0 20 Sep 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 38 3 0 19 Sep 2022
Enhancing the Self-Universality for Transferable Targeted Attacks Zhipeng Wei Jingjing Chen Zuxuan Wu Yueping Jiang AAML 24 31 0 08 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs Chen-Hao Hu Weiwen Shi AAML 116 14 0 02 Sep 2022
Impact of Colour Variation on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi AAML OOD 25 1 0 02 Sep 2022
Impact of Scaled Image on Robustness of Deep Neural Networks Chen-Hao Hu Weiwen Shi 19 2 0 02 Sep 2022
Universal Fourier Attack for Time Series Elizabeth Coda B. Clymer Chance N. DeSmet Y. Watkins Michael Girard 28 1 0 02 Sep 2022
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs Prashant Pandey Mustafa Chasmai Tanuj Sur Brejesh Lall 22 11 0 26 Aug 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps Mohammadreza Amirian Friedhelm Schwenker Thilo Stadelmann AAML 27 16 0 24 Aug 2022
Adversarial Vulnerability of Temporal Feature Networks for Object Detection Svetlana Pavlitskaya Nikolai Polley Michael Weber J. Marius Zöllner AAML 19 2 0 23 Aug 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 40 9 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 22 2 0 13 Aug 2022
Attention Hijacking in Trojan Transformers Weimin Lyu Songzhu Zheng Teng Ma Haibin Ling Chao Chen 38 6 0 09 Aug 2022
AWEncoder: Adversarial Watermarking Pre-trained Encoders in Contrastive Learning Tianxing Zhang Hanzhou Wu Xiaofeng Lu Guangling Sun AAML 27 4 0 08 Aug 2022
A New Kind of Adversarial Example Ali Borji AAML 26 1 0 04 Aug 2022
MOVE: Effective and Harmless Ownership Verification via Embedded External Features Yiming Li Linghui Zhu Xiaojun Jia Yang Bai Yong Jiang Shutao Xia Xiaochun Cao Kui Ren AAML 46 12 0 04 Aug 2022
Spectrum Focused Frequency Adversarial Attacks for Automatic Modulation Classification Sicheng Zhang Jiarun Yu Zhida Bao S. Mao Yun Lin AAML 26 9 0 03 Aug 2022