Adaptive Hyperdimensional Inference to Establish the Identification of Fake Images and News

Perugu Sisira, Dudekula Affik, Rumala Shashikala, Patil Lahari, Kadikonda Roopasree

2025

Abstract

The increasing presence of fake news and altered images now poses a significant threat to digital security and public trust. Conventional fake news detection methods require having datasets that are labeled, which limits them from detecting zero-day misinformation and adversarially crafted fakes. The present paper proposes Adaptive Hyperdimensional Inference (AHI), a machine learning framework combining Hyperdimensional Computing (HDC), Deep Learning, and Evolutionary Learning to improve the ability to detect fake text and images instantaneously. Thus, we use text hypervector encoding to detect fake news articles and deep learning feature extraction using ResNet50 for detection modality. Both modalities can now live in a common hyperdimensional space. Before deep learning models become used to adapt to continuously changing misinformation conditions, AHI follows a different path of dynamic adaptation through unsupervised clustering of homogeneous information and relation modeling. Experimentation results show that AHI has been able to acquire 91.3% accuracy on 82.6% zero-day detection and 85.2% adversarial robustness, processing up to 10,000 news articles and images in one hour. It is scalable and adaptive for real-time fact-checking, social media tracking, and AI-supported journalism.

Paper Citation

in Harvard Style

Sisira P., Affik D., Shashikala R., Lahari P. and Roopasree K. (2025). Adaptive Hyperdimensional Inference to Establish the Identification of Fake Images and News. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 357-363. DOI: 10.5220/0013898100004919

in Bibtex Style

@conference{icrdicct`2525,
author={Perugu Sisira and Dudekula Affik and Rumala Shashikala and Patil Lahari and Kadikonda Roopasree},
title={Adaptive Hyperdimensional Inference to Establish the Identification of Fake Images and News},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={357-363},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013898100004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Adaptive Hyperdimensional Inference to Establish the Identification of Fake Images and News
SN - 978-989-758-777-1
AU - Sisira P.
AU - Affik D.
AU - Shashikala R.
AU - Lahari P.
AU - Roopasree K.
PY - 2025
SP - 357
EP - 363
DO - 10.5220/0013898100004919
PB - SciTePress