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.

Researchers From Binghamton University Introduce A Privacy-Enhancing Anonymization System (My Face, My Choice) For Everyone To Have Control Over Their Faces In Social Photo...

AI Paper Summary
Anonymization is a critical problem in the context of face recognition and identification algorithms. With the increasing productization of these technologies, ethical concerns have...

This AI Paper Studies the Impact of Anonymization for Training Computer Vision Models with a Focus on Autonomous Vehicles Datasets

AI Paper Summary
Image anonymization is the practice of modifying or removing sensitive information from images to protect privacy. While important for complying with privacy regulations, anonymization...

Meet Otter: A Cutting-Edge AI Model that Leverages a Large-Scale Dataset Called MIMIC-IT to Achieve State-of-the-Art Performances in Perception and Reasoning Benchmarks

AI Paper Summary
Multi-faceted models strive to integrate data from diverse sources, including written language, pictures, and videos, to execute various functions. These models have demonstrated considerable...

In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation (Paper Summary)

AI Paper Summary
The out-of-distribution (OOD) detection in deep learning models, particularly in image classification, addresses the challenge of identifying inputs unrelated to the model's training task....

Meet GPTutor: A ChatGPT-Powered Programming Tool For Code Explanation Provided As A VSCode Extension

AI Paper Summary
In recent years, the need for competent programmers has increased the number of people learning to code. However, a teacher shortage makes it difficult...

Meet GANonymization: A Novel Face Anonymization Framework With Facial Expression-Preserving Abilities

AI Paper Summary
In recent years, with the exponential growth in the availability of personal data and the rapid advancement of technology, concerns regarding privacy and security...

This AI Paper Shows How Diffusion Models Memorize Individual Images From Their Training Data And Emit Them At Generation Time

AI Paper Summary
In recent years, image diffusion models such as DALL-E 2, Imagen, and Stable Diffusion have gained considerable attention for their remarkable ability to generate...

Protecting Financial Data Privacy: Exploring Synthetic Data Generation Techniques in Finance

AI Paper Summary
In the modern digital age, data is a commodity often bought, sold, and traded like any other asset. However, when it comes to financial...

A New Study Proposes Automatic Taxonomic Identification Based On The Fossil Image Dataset (>415,000 images) And Deep Convolutional Neural Networks

AI Shorts
Paleontology is a fascinating field that helps us understand the history of life on Earth by studying ancient life forms and their evolution. However,...

This Paper Explains the Impact of Dimensionality Reduction on Outlier Detection

AI Paper Summary
Dimensionality reduction combined with outlier detection is a technique used to reduce the complexity of high-dimensional data while identifying anomalous or extreme values in...

A New AI Research Proposes A Novel Approach To Compact And Optimal Deep Learning By Decoupling Model DoF And Model Parameters

AI Paper Summary
In deep learning, large models with millions of parameters have shown remarkable accuracy in various applications such as image recognition, natural language processing, and...

Paper Summary: Efficient Deep Learning Approach to Recognize Person Attributes by Using Hybrid Transformers for Surveillance Scenarios

AI Paper Summary
Person Re-Id Attributes or Person Attribute Recognition (PAR) identifies and classifies attributes of people in images or videos. PAR is important in video surveillance,...
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