2 papers
cs.CV2020
Mitigating large adversarial perturbations on X-MAS (X minus Moving Averaged Samples)
Woohyung Chun, Sung-Min Hong, Junho Huh +1
We propose the scheme that mitigates the adversarial perturbation on the adversarial example ( , is a benign sample) by subtracting the estimated…
cs.LG2018
Controlling the privacy loss with the input feature maps of the layers in convolutional neural networks
Woohyung Chun, Sung-Min Hong, Junho Huh +1
We propose the method to sanitize the privacy of the IFM(Input Feature Map)s that are fed into the layers of CNN(Convolutional Neural Network)s. The method introduces the degree of…