3 papers
cs.CR2021
Peeler: Profiling Kernel-Level Events to Detect Ransomware
Muhammad Ejaz Ahmed, Hyoungshick Kim, Seyit Camtepe +1
Ransomware is a growing threat that typically operates by either encrypting a victim's files or locking a victim's computer until the victim pays a ransom. However, it is still cha…
cs.CV2020
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
Bedeuro Kim, Alsharif Abuadbba, Yansong Gao +4
As an essential processing step in computer vision applications, image resizing or scaling, more specifically downsampling, has to be applied before feeding a normally large image…
cs.IT2018
Optimal Spectrum Sensing Policy with Traffic Classification in RF-Powered CRNs
Hae Sol Lee, Muhammad Ejaz Ahmed, Dong In Kim
An orthogonal frequency division multiple access (OFDMA)-based primary user (PU) network is considered, which provides different spectral access/energy harvesting opportunities in…