Kumar, S Harish and Dasari, Ashok and Sree, S Divya and Chandu, K and Kumar, R Arun (2025) Comparative Analysis of Deep Learning Models for Detecting Deepfake Audio Using MobileNet and Explainable AI. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
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Abstract
Deepfake audio, which has the creation of highly realistic synthetic voices, has become a major cybersecurity concern. It can be used for misinformation, fraud, and unauthorized access, making accurate detection crucial. This paper presents a hybrid deep learning approach that improves both the accu
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:17 |
| Last Modified: | 16 Apr 2026 15:59 |
| URI: | http://eprints.eai.eu/id/eprint/60041 |
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