BERTector: Intrusion Detection Based on Joint-Dataset Learning

Intrusion detection systems IDS are facing challenges in generalization and robustness due to the heterogeneity of network traffic and the diversity of attack patterns. To address this issue, we propose a new joint-dataset training paradigm for IDS and propose a scalable BERTector framework based...

Hybrid Audio Detection Using Fine-Tuned Audio Spectrogram Transformers: a Dataset-Driven Evaluation of Mixed AI-Human Speech

The rapid advancement of artificial intelligence AI has enabled sophisticated audio generation and voice cloning technologies, posing significant security risks for applications reliant on voice authentication. While existing datasets and models primarily focus on distinguishing between human and...