Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications

19 November 2023

Papers citing "Attention-Based Real-Time Defenses for Physical Adversarial Attacks in Vision Applications"

6 / 6 papers shown

Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 84 0 0 02 Apr 2025
A Survey on Physical Adversarial Attack in Computer Vision Donghua Wang Wen Yao Tingsong Jiang Guijian Tang Xiaoqian Chen AAML 56 38 0 28 Sep 2022
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous Vehicles Jindi Zhang Yang Lou Jianping Wang Kui Wu K. Lu Xiaohua Jia AAML 30 33 0 06 Aug 2021
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes Yuanduo Hong Huihui Pan Weichao Sun Yisong Jia SSeg 138 260 0 15 Jan 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016