Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies

17 February 2022

Papers citing "Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies"

4 / 4 papers shown

Title
Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic Overhead Imagery Mikael Yeghiazaryan Sai Abhishek Siddhartha Namburu Emily Kim Stanislav Panev Celso de Melo Brent Lance Fernando de la Torre Jessica K. Hodgins AAML 100 0 0 20 Dec 2024
The race to robustness: exploiting fragile models for urban camouflage and the imperative for machine learning security Harriet Farlow Matthew A. Garratt G. Mount T. Lynar AAML 32 0 0 26 Jun 2023
Deep Facial Expression Recognition: A Survey Shan Li Weihong Deng 153 1,288 0 23 Apr 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 165 424 0 16 Apr 2018