Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks

17 September 2020

Papers citing "Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks"

7 / 7 papers shown

Title
Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores Hyunsik Na Wonho Lee Seungdeok Roh Sohee Park Daeseon Choi AAML 23 0 0 13 May 2025
PAD: Patch-Agnostic Defense against Adversarial Patch Attacks Lihua Jing Rui Wang Wenqi Ren Xinjie Dong Cong Zou AAML 36 6 0 25 Apr 2024
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 29 20 0 16 Jun 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection Jiangjiang Liu Alexander Levine Chun Pong Lau Ramalingam Chellappa S. Feizi AAML 32 77 0 08 Dec 2021
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 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
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 303 3,115 0 04 Nov 2016