output
20182026
most citedAutomatic Speech Recognition using Advanced Deep Learning Approaches: A survey

194 citations

Showing cs.CRShow all

7 papers · 1 filter

cs.CR2026

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices

Nandish Chattopadhyay, Abdul Basit, Amira Guesmi +3

Adversarial attacks pose a significant challenge to the reliable deployment of machine learning models in EdgeAI applications, such as autonomous driving and surveillance, which re…

cs.CR2025★ 5 cited

Blockchain-Powered Asset Tokenization Platform

Aaryan Sinha, Raja Muthalagu, Pranav Pawar +2

Blockchain Technology has revolutionized Finance and Technology with its secure, decentralized, and trust-less methodologies of data management. In a world where asset value fluctu…

cs.CR2025★ 8 cited

Enhanced Hybrid Deep Learning Approach for Botnet Attacks Detection in IoT Environment

A. Karthick kumar, S. Rathnamala, T. Vijayashanthi +4

Cyberattacks in an Internet of Things (IoT) environment can have significant impacts because of the interconnected nature of devices and systems. An attacker uses a network of comp…

cs.CR2024★ 8 cited

A Visualized Malware Detection Framework with CNN and Conditional GAN

Fang Wang, Hussam Al Hamadi, Ernesto Damiani

Malware visualization analysis incorporating with Machine Learning (ML) has been proven to be a promising solution for improving security defenses on different platforms. In this w…

cs.CR2023★ 10 cited

Novel Area-Efficient and Flexible Architectures for Optimal Ate Pairing on FPGA

Oussama Azzouzi, Mohamed Anane, Mouloud Koudil +2

While FPGA is a suitable platform for implementing cryptographic algorithms, there are several challenges associated with implementing Optimal Ate pairing on FPGA, such as security…

cs.CR2023★ 85 cited

Deep Learning for Steganalysis of Diverse Data Types: A review of methods, taxonomy, challenges and future directions

Hamza Kheddar, Mustapha Hemis, Yassine Himeur +2

Steganography and steganalysis are two interrelated aspects of the field of information security. Steganography seeks to conceal communications, whereas steganalysis is aimed to ei…

cs.CR2023★ 111 cited

Deep transfer learning for intrusion detection in industrial control networks: A comprehensive review

Hamza Kheddar, Yassine Himeur, Ali Ismail Awad

Globally, the external internet is increasingly being connected to industrial control systems. As a result, there is an immediate need to protect these networks from a variety of t…