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11/04/2022
MalGrid: Visualization Of Binary Features In Large Malware Corpora
The number of malware is constantly on the rise. Though most new malware...
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05/22/2022
CNNs are Myopic
We claim that Convolutional Neural Networks (CNNs) learn to classify ima...
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11/08/2021
OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features
With the growing number of malware and cyber attacks, there is a need fo...
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11/08/2021
HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis
Malicious PDF documents present a serious threat to various security org...
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09/04/2021
Seam Carving Detection and Localization using Two-Stage Deep Neural Networks
Seam carving is a method to resize an image in a content aware fashion. ...
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08/28/2021
SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery
Seam carving is a popular technique for content aware image retargeting....
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06/21/2021
Minimal Rank Completions for Overlapping Blocks
We consider the multi-objective optimization problem of choosing the bot...
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04/12/2021
Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices
Digital image forensics aims to detect images that have been digitally m...
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03/22/2021
Adversarially Optimized Mixup for Robust Classification
Mixup is a procedure for data augmentation that trains networks to make ...
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03/19/2021
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
Machine Learning (ML) algorithms are susceptible to adversarial attacks ...
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01/26/2021
Malware Detection Using Frequency Domain-Based Image Visualization and Deep Learning
We propose a novel method to detect and visualize malware through image ...
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12/13/2020
Predicting Generalization in Deep Learning via Local Measures of Distortion
We study generalization in deep learning by appealing to complexity meas...
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10/18/2020
Exploiting Context for Robustness to Label Noise in Active Learning
Several works in computer vision have demonstrated the effectiveness of ...
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07/20/2020
Detection, Attribution and Localization of GAN Generated Images
Recent advances in Generative Adversarial Networks (GANs) have led to th...
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11/13/2019
Graph-Induced Rank Structures and their Representations
A new framework is proposed to study rank-structured matrices arising fr...
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03/15/2019
Detecting GAN generated Fake Images using Co-occurrence Matrices
The advent of Generative Adversarial Networks (GANs) has brought about c...
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06/06/2018
Deep Algorithms: designs for networks
A new design methodology for neural networks that is guided by tradition...
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02/09/2018
Boosting Image Forgery Detection using Resampling Features and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
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02/09/2018
Boosting Image Forgery Detection using Resampling Detection and Copy-move analysis
Realistic image forgeries involve a combination of splicing, resampling,...
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07/03/2017
