20 citations · 43 across the 7 of their papers we have counts for
4 papers · 1 filter
Adaptive Modeling Against Adversarial Attacks
Zhiwen Yan, Teck Khim Ng
Adversarial training, the process of training a deep learning model with adversarial data, is one of the most successful adversarial defense methods for deep learning models. We ha…
Enhancing Transformation-based Defenses using a Distribution Classifier
Connie Kou, Hwee Kuan Lee, Ee-Chien Chang +1
Adversarial attacks on convolutional neural networks (CNN) have gained significant attention and there have been active research efforts on defense mechanisms. Stochastic input tra…
Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network
Connie Kou, Hwee Kuan Lee, Jorge Sanz +1
There is emerging interest in performing regression between distributions. In contrast to prediction on single instances, these machine learning methods can be useful for populatio…
A Compact Network Learning Model for Distribution Regression
Connie Kou, Hwee Kuan Lee, Teck Khim Ng
Despite the superior performance of deep learning in many applications, challenges remain in the area of regression on function spaces. In particular, neural networks are unable to…