2 papers
cs.CR2024
Unlearn to Relearn Backdoors: Deferred Backdoor Functionality Attacks on Deep Learning Models
Jeongjin Shin, Sangdon Park
Deep learning models are vulnerable to backdoor attacks, where adversaries inject malicious functionality during training that activates on trigger inputs at inference time. Extens…
cs.CV2024
Mask-based Invisible Backdoor Attacks on Object Detection
Jeongjin Shin
Deep learning models have achieved unprecedented performance in the domain of object detection, resulting in breakthroughs in areas such as autonomous driving and security. However…