Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis

14 March 2022

Papers citing "Defending From Physically-Realizable Adversarial Attacks Through Internal Over-Activation Analysis"

3 / 3 papers shown

Title
Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes Yuanduo Hong Huihui Pan Weichao Sun Yisong Jia SSeg 134 260 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
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 145 424 0 16 Apr 2018