activity
20162022
most citedBrain Tumor Segmentation and Tractographic Feature Extraction from Structural MR Images for Overall Survival Prediction

59 citations · 235 across the 34 of their papers we have counts for

collaborators

35 papers

cs.CR2022

MalGrid: Visualization Of Binary Features In Large Malware Corpora

Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar +2

The number of malware is constantly on the rise. Though most new malware are modifications of existing ones, their sheer number is quite overwhelming. In this paper, we present a n…

cs.CR2021★ 1 cited

OMD: Orthogonal Malware Detection Using Audio, Image, and Static Features

Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy +3

With the growing number of malware and cyber attacks, there is a need for "orthogonal" cyber defense approaches, which are complementary to existing methods by detecting unique mal…

cs.CR2021★ 2 cited

HAPSSA: Holistic Approach to PDF Malware Detection Using Signal and Statistical Analysis

Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Satish Chikkagoudar +2

Malicious PDF documents present a serious threat to various security organizations that require modern threat intelligence platforms to effectively analyze and characterize the ide…

cs.CV2021

SeeTheSeams: Localized Detection of Seam Carving based Image Forgery in Satellite Imagery

Chandrakanth Gudavalli, Erik Rosten, Lakshmanan Nataraj +2

Seam carving is a popular technique for content aware image retargeting. It can be used to deliberately manipulate images, for example, change the GPS locations of a building or in…

cs.CV2021★ 4 cited

GTNet:Guided Transformer Network for Detecting Human-Object Interactions

A S M Iftekhar, Satish Kumar, R. Austin McEver +2

The human-object interaction (HOI) detection task refers to localizing humans, localizing objects, and predicting the interactions between each human-object pair. HOI is considered…

cs.CV2021

Holistic Image Manipulation Detection using Pixel Co-occurrence Matrices

Lakshmanan Nataraj, Michael Goebel, Tajuddin Manhar Mohammed +2

Digital image forensics aims to detect images that have been digitally manipulated. Realistic image forgeries involve a combination of splicing, resampling, region removal, smoothi…