Canvas Method is a method for inference attacks on object detection models. It draws a predicted bounding box distribution on an empty canvas for an attack model input. The canvas is initially set to an image of 300$\times$300 pixels in size, where every pixel has a value of zero and the boxes drawn on the canvas have the same center as the predicted boxes and the same intensity as the prediction scores.
Source: Membership Inference Attacks Against Object Detection ModelsPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Inference Attack | 1 | 33.33% |
Membership Inference Attack | 1 | 33.33% |
Object Detection | 1 | 33.33% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |