SSL-OTA: Unveiling Backdoor Threats in Self-Supervised Learning for Object Detection. (arXiv:2401.00137v1 [cs.CR])

The extensive adoption of Self-supervised learning (SSL) has led to an
increased security threat from backdoor attacks. While existing research has
mainly focused on backdoor attacks in image classification, there has been
limited exploration into their implications for object detection. In this work,
we propose the first backdoor attack designed for object detection tasks in SSL
scenarios, termed Object Transform Attack (SSL-OTA). SSL-OTA employs a trigger
capable of altering predictions of the target object to the desired category,
encompassing two …

adoption attacks backdoor backdoor attacks classification detection image led object ota research security security threat ssl threat threats work