Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.
Create image manipulation techniques e.g. resizing to half , color conversion. And also providing the JPEG compression technique from the first step which is performing the DCT and the Zigzag and RLE(run length encoding) and the inverse for each one, all written in c++.
"Security Evaluation of a Face Recognition System": Final project for the AI for Cybersecurity course. This repository explores the robustness of deep learning image classifiers against adversarial attacks and evaluating common defense strategies.
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