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Advances in adversarial attacks and defenses in computer vision: A survey [article]

Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah
2021 arXiv   pre-print
In [2], we reviewed the contributions made by the computer vision community in adversarial attacks on deep learning (and their defenses) until the advent of year 2018.  ...  However, it is now known that DL is vulnerable to adversarial attacks that can manipulate its predictions by introducing visually imperceptible perturbations in images and videos.  ...  [202] have analyzed adversarial stickers on stop signs in the context of autonomous driving to fool YOLO [203] -a popular object detector. Jia et al.  ... 
arXiv:2108.00401v2 fatcat:23gw74oj6bblnpbpeacpg3hq5y

Table of contents

2018 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)  
Towards "Invisible Cloak": Robust Physical Adversarial Attack on YOLO Object Detector 368-374 1570488210 LBSNN: Neural Networks-based Moving Sink 375-381 1570493122 A Reference Model for Big Data Analytics  ...  489-496 1570493071 Integrating YOLO Object Detection with Augmented Reality for iOS Apps 1570493096 Low-Cost Device Prototype for Automatic Medical 695-699 1570488738 A GPU accelerated parallel heuristic  ... 
doi:10.1109/uemcon.2018.8796751 fatcat:rp2ptti5pzckfirdmwm6yao7wu