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Found 2 papers, 1 papers with code
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
To corroborate the efficiency of Decamouflage, we have also measured its run-time overhead on a personal PC with an i5 CPU and found that Decamouflage can detect image-scaling attacks in milliseconds.
DeepCapture: Image Spam Detection Using Deep Learning and Data Augmentation
To show the feasibility of DeepCapture, we evaluate its performance with publicly available datasets consisting of 6, 000 spam and 2, 313 non-spam image samples.
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