research
∙
11/23/2019
Invert and Defend: Model-based Approximate Inversion of Generative Adversarial Networks for Secure Inference
Inferring the latent variable generating a given test sample is a challe...
share
research
∙
05/17/2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
In recent years, deep neural network approaches have been widely adopted...
research
∙
03/14/2018
Face-MagNet: Magnifying Feature Maps to Detect Small Faces
In this paper, we introduce the Face Magnifier Network (Face-MageNet), a...
research
∙
02/05/2018
Task-Aware Compressed Sensing with Generative Adversarial Networks
In recent years, neural network approaches have been widely adopted for ...
research
∙
08/14/2017
