activity
20182023
most citedDecamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks

2 citations · 6 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CR2023

SemDiff: Binary Similarity Detection by Diffing Key-Semantics Graphs

Zian Liu, Zhi Zhang, Siqi Ma +6

Binary similarity detection is a critical technique that has been applied in many real-world scenarios where source code is not available, e.g., bug search, malware analysis, and c…

cs.CR2022★ 2 cited

Transformer-Based Language Models for Software Vulnerability Detection

Chandra Thapa, Seung Ick Jang, Muhammad Ejaz Ahmed +3

The large transformer-based language models demonstrate excellent performance in natural language processing. By considering the transferability of the knowledge gained by these mo…

cs.CR2021★ 2 cited

NatiDroid: Cross-Language Android Permission Specification

Chaoran Li, Xiao Chen, Ruoxi Sun +5

The Android system manages access to sensitive APIs by permission enforcement. An application (app) must declare proper permissions before invoking specific Android APIs. However,…

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★ 2 cited

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…