sastraadiwiguna-purpleeliteteaming Hyper-Fidelity-SAEHD-Pipeline-Neural-Reconstruct-Elite

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Authors: sastra adi wiguna
Cited by: 0

Abstract

This repository contains the Deterministic Pipeline for high-fidelity facial reconstruction through Generative Adversarial Networks (GANs). Unlike standard consumer-grade face-swapping, this framework is optimized for Reverse Engineering Resistant outputs. It utilizes a custom Sinusoidal AutoEncoder High Definition (SAEHD) architecture to achieve temporal consistency and skin-tone accuracy with a Delta-E variance of < 2.0. The core mission of this pipeline is to provide a holistic environment for Red Teaming (vulnerability assessment of biometric systems) and Blue Teaming (developing robust deepfake detection countermeasures).

Fields of Study & Subjects

Digital Media Forensic Detection Generative Adversarial Networks and Image Synthesis Face recognition and analysis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 January 2026