The number of malware is constantly on the rise. Though most new malware...
We claim that Convolutional Neural Networks (CNNs) learn to classify ima...
With the growing number of malware and cyber attacks, there is a need fo...
Malicious PDF documents present a serious threat to various security
org...
Seam carving is a method to resize an image in a content aware fashion.
...
Seam carving is a popular technique for content aware image retargeting....
We consider the multi-objective optimization problem of choosing the bot...
Digital image forensics aims to detect images that have been digitally
m...
Mixup is a procedure for data augmentation that trains networks to make
...
Machine Learning (ML) algorithms are susceptible to adversarial attacks ...
We propose a novel method to detect and visualize malware through image
...
We study generalization in deep learning by appealing to complexity meas...
Several works in computer vision have demonstrated the effectiveness of
...
Recent advances in Generative Adversarial Networks (GANs) have led to th...
A new framework is proposed to study rank-structured matrices arising fr...
The advent of Generative Adversarial Networks (GANs) has brought about
c...
A new design methodology for neural networks that is guided by tradition...
Realistic image forgeries involve a combination of splicing, resampling,...
Realistic image forgeries involve a combination of splicing, resampling,...
Resampling is an important signature of manipulated images. In this pape...