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Found 2 papers, 1 papers with code
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness
This paper is dedicated to bridging this gap by introducing Detector Collapse} (DC), a brand-new backdoor attack paradigm tailored for object detection.
Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations
Through validation experiments that commendably support our hypothesis, we further design a random matrix to boost both $\Theta_{imi}$ and $\Theta_{imc}$, achieving a notable degree of defense effect.
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