Explainable artificial intelligence applications in cyber security: State-of-the-art in research

Z Zhang, H Al Hamadi, E Damiani, CY Yeun… - IEEE …, 2022 - ieeexplore.ieee.org
This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

Explainable artificial intelligence in information systems: A review of the status quo and future research directions

J Brasse, HR Broder, M Förster, M Klier, I Sigler - Electronic Markets, 2023 - Springer
The quest to open black box artificial intelligence (AI) systems evolved into an emerging
phenomenon of global interest for academia, business, and society and brought about the …

Explainable artificial intelligence in cybersecurity: A survey

N Capuano, G Fenza, V Loia, C Stanzione - Ieee Access, 2022 - ieeexplore.ieee.org
Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Coronavirus covid-19 detection by means of explainable deep learning

F Mercaldo, MP Belfiore, A Reginelli, L Brunese… - Scientific Reports, 2023 - nature.com
The coronavirus is caused by the infection of the SARS-CoV-2 virus: it represents a complex
and new condition, considering that until the end of December 2019 this virus was totally …

Survey on explainable AI: From approaches, limitations and applications aspects

W Yang, Y Wei, H Wei, Y Chen, G Huang, X Li… - Human-Centric …, 2023 - Springer
In recent years, artificial intelligence (AI) technology has been used in most if not all domains
and has greatly benefited our lives. While AI can accurately extract critical features and …

Explainable artificial intelligence for cybersecurity: a literature survey

F Charmet, HC Tanuwidjaja, S Ayoubi… - Annals of …, 2022 - Springer
With the extensive application of deep learning (DL) algorithms in recent years, eg, for
detecting Android malware or vulnerable source code, artificial intelligence (AI) and …

Deep learning for android malware defenses: a systematic literature review

Y Liu, C Tantithamthavorn, L Li, Y Liu - ACM Computing Surveys, 2022 - dl.acm.org
Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …

Sok: Explainable machine learning for computer security applications

A Nadeem, D Vos, C Cao, L Pajola… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …

A survey on explainable artificial intelligence for cybersecurity

G Rjoub, J Bentahar, OA Wahab… - … on Network and …, 2023 - ieeexplore.ieee.org
The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …

A Comprehensive Analysis of Explainable AI for Malware Hunting

M Saqib, S Mahdavifar, BCM Fung… - ACM Computing …, 2024 - dl.acm.org
In the past decade, the number of malware variants has increased rapidly. Many
researchers have proposed to detect malware using intelligent techniques, such as Machine …