Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches

16 September 2018

Papers citing "Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches"

6 / 6 papers shown

Title
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 76 0 08 Dec 2021
The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods V. Bawa Gurkirt Singh Francis KapingA I. Skarga-Bandurova Elettra Oleari ... Li Li Armando Stabile Francesco Setti R. Muradore Fabio Cuzzolin 25 36 0 07 Apr 2021
Robust and Accurate Object Detection via Adversarial Learning Xiangning Chen Cihang Xie Mingxing Tan Li Zhang Cho-Jui Hsieh Boqing Gong AAML 34 72 0 23 Mar 2021
Higher-Order Certification for Randomized Smoothing Jeet Mohapatra Ching-Yun Ko Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 20 44 0 13 Oct 2020
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector Shang-Tse Chen Cory Cornelius Jason Martin Duen Horng Chau ObjD 162 424 0 16 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016