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okay so thatamp;#39;s the uh idea of the adversary attack right so how this can be very harmful for some of applications um now we want to understand right how can we do this ersary attack okay so letamp;#39;s uh consider uh image classification as the basic example to demonstrate right how can we do uh adversary attack right to generate those um adversar preservations to uh to make the image classifier to misclassify okay so here is a input image right this is a cat image and if we using this image and put into the uh the network right the image classifier uh if itamp;#39;s train properly right will classify this is a tiger cat Okay and now the idea here is that uh we want to add in a small noise or peration right so here we can put this image as this a large Vector right these are the pixel values and we adding some of the small changes or peration right so this Delta here to the original uh input and we generate this uh attacked image okay so here uh when we say that you know we
