Search Results for author:
Found 7 papers, 2 papers with code
Privacy-Preserving Deep Learning Computation for Geo-Distributed Medical Big-Data Platforms
This paper proposes a distributed deep learning framework for privacy-preserving medical data training.
W-Net: A CNN-based Architecture for White Blood Cells Image Classification
Computer-aided methods for analyzing white blood cells (WBC) have become widely popular due to the complexity of the manual process.
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection
Therefore, we proposed an approach to generate adversarial examples, COPYCAT, which is specifically designed for malware detection systems considering two main goals; achieving a high misclassification rate and maintaining the executability and functionality of the original input.
Exploring the Attack Surface of Blockchain: A Systematic Overview
In this paper, we systematically explore the attack surface of the Blockchain technology, with an emphasis on public Blockchains.
Cryptography and Security
Detecting and Classifying Android Malware using Static Analysis along with Creator Information
Guided by this insight, we propose a method to improve on the performance of Android malware detection by incorporating the creator's information as a feature and classify malicious applications into similar groups.
Cryptography and Security
Examining Adversarial Learning against Graph-based IoT Malware Detection Systems
The main goal of this study is to investigate the robustness of graph-based Deep Learning (DL) models used for Internet of Things (IoT) malware classification against Adversarial Learning (AL).
Andro-profiler: Detecting and Classifying Android Malware based on Behavioral Profiles
Mass-market mobile security threats have increased recently due to the growth of mobile technologies and the popularity of mobile devices.
Cryptography and Security
