output
20042026
most citedCOVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

965 citations

Showing cs.CRShow all

15 papers · 1 filter

cs.CR2026★ 18 cited

Guardrails for trust, safety, and ethical development and deployment of Large Language Models (LLM)

Anjanava Biswas, Wrick Talukdar

The AI era has ushered in Large Language Models (LLM) to the technological forefront, which has been much of the talk in 2023, and is likely to remain as such for many years to com…

cs.CR2026★ 3 cited

AI-Powered Algorithms for the Prevention and Detection of Computer Malware Infections

Rakesh Keshava, Sathish Kuppan Pandurangan, M. Sakthivanitha +3

The rise in frequency and complexity of malware attacks are viewed as a major threat to modern digital infrastructure, which means that traditional signature-based detection method…

cs.CR2022★ 1 cited

DSCOT: An NFT-Based Blockchain Architecture for the Authentication of IoT-Enabled Smart Devices in Smart Cities

Usman Khalil, Owais Ahmed Malik, Ong Wee Hong +1

Smart city architecture brings all the underlying architectures, i.e., Internet of Things (IoT), Cyber-Physical Systems (CPSs), Internet of Cyber-Physical Things (IoCPT), and Inter…

cs.CR2022★ 5 cited

Lessons Learned: Defending Against Property Inference Attacks

Joshua Stock, Jens Wettlaufer, Daniel Demmler +1

This work investigates and evaluates multiple defense strategies against property inference attacks (PIAs), a privacy attack against machine learning models. Given a trained machin…

cs.CR2021★ 3 cited

Towards Industrial Private AI: A two-tier framework for data and model security

Sunder Ali Khowaja, Kapal Dev, Nawab Muhammad Faseeh Qureshi +2

With the advances in 5G and IoT devices, the industries are vastly adopting artificial intelligence (AI) techniques for improving classification and prediction-based services. Howe…

cs.CR2021★ 7 cited

Securing Face Liveness Detection Using Unforgeable Lip Motion Patterns

Man Zhou, Qian Wang, Qi Li +5

Face authentication usually utilizes deep learning models to verify users with high recognition accuracy. However, face authentication systems are vulnerable to various attacks tha…