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Author

Shing-Chiang Tan

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Conference Jul 2026

A Federated Learning Framework for Brain Tumour Detection Using Xception Convolutional Neural Network with CKKS-Based Secure Aggregation

Federated learning (FL) enables collaborative medical image analysis without centralising sensitive data, making it highly suitable for privacy-critical applications such as brain tumour detection from magnetic resonance imaging (MRI). However, conventional FL frameworks remain vulnerable to parameter-level information...

Anik Sen, Swee-Huay Heng, Shing-Chiang Tan · 0 citations
Conference Jul 2026

A Performance Comparison of Convolutional Neural Networks and Vision Transformers for Malware Detection

The detection of malware is a great challenge in cybersecurity because the threat environment keeps on changing. Convolutional Neural Networks (CNNs) are frequently applied to conduct image-based malware detection. On the other hand, Vision Transformers (ViTs) that leverage self-attention mechanisms have emerged as a n...

Zhi-Siang Lim, Shing-Chiang Tan · 0 citations

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