Simple iterative method for generating targeted universal adversarial perturbations

15 November 2019

Papers citing "Simple iterative method for generating targeted universal adversarial perturbations"

14 / 14 papers shown

Title
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems Yuxin Cao Yumeng Zhu Derui Wang Sheng Wen Minhui Xue Jin Lu Hao Ge AAML 40 0 0 11 Jul 2024
Hijacking Attacks against Neural Networks by Analyzing Training Data Yunjie Ge Qian Wang Huayang Huang Qi Li Cong Wang Chao Shen Lingchen Zhao Peipei Jiang Zheng Fang Shenyi Zhang 19 0 0 18 Jan 2024
On The Relationship Between Universal Adversarial Attacks And Sparse Representations Dana Weitzner Raja Giryes AAML 19 0 0 14 Nov 2023
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection Biswaraj Baral Reek Majumdar Bhavika Bhalgamiya Taposh Dutta Roy MedIm AAML 12 1 0 08 Sep 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 19 5 0 07 Aug 2023
Universal Adversarial Directions Ching Lam Choi Farzan Farnia AAML 9 0 0 28 Oct 2022
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks K. Koga Kazuhiro Takemoto AAML 22 11 0 11 Aug 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 21 26 0 06 May 2021
Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions Jing Wu Mingyi Zhou Ce Zhu Yipeng Liu Mehrtash Harandi Li Li AAML 35 10 0 22 Apr 2021
Cortical Features for Defense Against Adversarial Audio Attacks Ilya Kavalerov Frank Zheng W. Czaja Ramalingam Chellappa AAML 16 0 0 30 Jan 2021
You Only Query Once: Effective Black Box Adversarial Attacks with Minimal Repeated Queries Devin Willmott Anit Kumar Sahu Fatemeh Sheikholeslami Filipe Condessa Zico Kolter MLAU AAML 13 3 0 29 Jan 2021
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks Hokuto Hirano K. Koga Kazuhiro Takemoto AAML 17 46 0 22 May 2020
Universal Adversarial Perturbations for CNN Classifiers in EEG-Based BCIs Zihan Liu Lubin Meng Xiao Zhang Weili Fang Dongrui Wu AAML 9 38 0 03 Dec 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 250 5,830 0 08 Jul 2016