Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach

Anastasios Nikolakopoulos, Achilleas Marinakis, Vrettos Moulos, Theodora Varvarigou

2021

Abstract

In the scientific community of Machine Learning and Artificial Intelligence, Adversarial Attacks are evolving to an emerging issue. Carefully perturbed data samples invade to deep neural networks and cause problems, such as misclassifications and false / malformed outputs. The community has proposed multiple defense strategies, in order to overcome this problem. This paper summarizes the existing (and most well-known) adversarial attacks & defenses. Then, it proposes a potential solution to the issue, with a theoretical approach of an antivirus software scenario, the Hoplite Antivirus. This approach could be a vital step towards addressing the constantly evolving adversarial attacks, taking a note from the way software scientists defended (and keep defending) against computer viruses.

Paper Citation

in Harvard Style

Nikolakopoulos A., Marinakis A., Moulos V. and Varvarigou T. (2021). Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach. In Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: DMMLACS, ISBN 978-989-758-536-4, pages 585-592. DOI: 10.5220/0010721600003058

in Bibtex Style

@conference{dmmlacs21,
author={Anastasios Nikolakopoulos and Achilleas Marinakis and Vrettos Moulos and Theodora Varvarigou},
title={Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach},
booktitle={Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: DMMLACS,},
year={2021},
pages={585-592},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010721600003058},
isbn={978-989-758-536-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Web Information Systems and Technologies - Volume 1: DMMLACS,
TI - Hoplite Antivirus for Adversarial Attacks: A Theoretical Approach
SN - 978-989-758-536-4
AU - Nikolakopoulos A.
AU - Marinakis A.
AU - Moulos V.
AU - Varvarigou T.
PY - 2021
SP - 585
EP - 592
DO - 10.5220/0010721600003058