research
∙
03/22/2021
Adversarially Optimized Mixup for Robust Classification
Mixup is a procedure for data augmentation that trains networks to make ...
share
research
∙
03/19/2021
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
Machine Learning (ML) algorithms are susceptible to adversarial attacks ...
research
∙
03/01/2018
Resampling Forgery Detection Using Deep Learning and A-Contrario Analysis
The amount of digital imagery recorded has recently grown exponentially,...
research
∙
02/09/2018
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
research
∙
02/09/2018
Boosting Image Forgery Detection using Resampling Detection and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
research
∙
07/03/2017