Author: Mahmoud Ghorbel

Mahmoud Ghorbel
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Mahmoud is a PhD researcher in machine learning. He also holds a bachelor's degree in physical science and a master's degree in telecommunications and networking systems. His current areas of research concern computer vision, stock market prediction and deep learning. He produced several scientific articles about person re- identification and the study of the robustness and stability of deep networks.

Unmasking Deepfakes: Leveraging Head Pose Estimation Patterns for Enhanced Detection Accuracy

AI Paper Summary
The emergence of the ability to produce "fake" videos has sparked significant worries regarding the trustworthiness of visual content. Distinguishing between authentic and counterfeit...

Advancing Human Action Recognition in Virtual Reality: This AI Paper Introduces LKA-GCN with Skeleton Large Kernel Attention for Unmatched Performance

AI Paper Summary
Skeleton-based Human Action Recognition is a computer vision field that identifies human actions by analyzing skeletal joint positions from video data. It uses machine...

Researchers from China Propose a Data Augmentation Approach CarveMix for Brain Lesion Segmentation

AI Paper Summary
Automated brain lesion segmentation using convolutional neural networks (CNNs) has become a valuable clinical diagnosis and research tool. However, CNN-based approaches still face challenges...

This Artificial Intelligence Paper Presents an Advanced Method for Differential Privacy in Image Recognition with Better Accuracy

AI Paper Summary
Machine learning has increased considerably in several areas due to its performance in recent years. Thanks to modern computers' computing capacity and graphics cards,...

What Does it Mean to Deploy a Machine Learning Model?

AI Shorts
Data Science, a promising field that continues to attract more and more companies, is struggling to be integrated into industrialization processes. In most cases,...

This AI Paper Proposes A Privacy-Preserving Face Recognition Method Using Differential Privacy In The Frequency Domain

AI Paper Summary
Deep learning has significantly advanced face recognition models based on convolutional neural networks. These models have a high accuracy rate and are used in...

A new AI theoretical framework to analyze and bound information leakage from machine learning models

AI Paper Summary
ML algorithms have raised privacy and security concerns due to their application in complex and sensitive problems. Research has shown that ML models can...

Meet ImageReward: A Revolutionary Text-to-Image Model Bridging the Gap between AI Generative Capabilities and Human Values

AI Shorts
In machine learning, generative models that can produce images based on text inputs have made significant progress in recent years, with various approaches showing...

Identifiable, But Not Visible: A Privacy-Preserving Person Re-identification Scheme (Paper Summary)

AI Shorts
Person re-identification (Person Re-ID) is a sophisticated computer vision approach that makes identifying people using surveillance cameras at different places and times easier. Using...

Researchers at Stanford have developed an Artificial Intelligence (AI) model,’ StockBot’, which uses LSTMs to predict stock prices with gains higher than the most...

AI Paper Summary
Stock market behavior forecasting is a crucial undertaking that requires careful attention since, with the right choices, a successful prediction of stock prices might...

This AI Paper Expounds on the Nature of Human Creativity Involved in Text-to-Image Art with a Specific Focus on the Practice of Prompt Engineering

AI Shorts
Text-to-image generation systems have become increasingly popular for creating digital art. These systems allow anyone to create high-quality digital images by simply inputting natural...

Paper Summary: A Hybrid Approach With GAN and DP for Privacy Preservation of IIoT Data

AI Paper Summary
Anonymization is a significant problem when handling Industrial Internet of Things (IIoT) data. Machine Learning (ML) applications require decrypted data to perform tasks efficiently,...
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