2 papers
cs.CR2020
Confusing and Detecting ML Adversarial Attacks with Injected Attractors
Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee
Many machine learning adversarial attacks find adversarial samples of a victim model by following the gradient of some attack objective functions, either explicitly…
cs.LG2018
Flipped-Adversarial AutoEncoders
Jiyi Zhang, Hung Dang, Hwee Kuan Lee +1
We propose a flipped-Adversarial AutoEncoder (FAAE) that simultaneously trains a generative model G that maps an arbitrary latent code distribution to a data distribution and an en…