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Multilingual Audio DeepFake Detection
Can state-of-the-art audio deepfake detectors generalise beyond English? A benchmark across 8 languages reveals significant gaps — and a path forward.
Spellchecker Impact on Typing-Error Biometrics
Automatic spellcheckers silently erase the very signal that typing-error biometric systems rely on. We benchmarked how bad the damage is — and what it means for system design.
Defending ML-based Android Malware Detectors Against Backdoor Attacks
Machine learning powers modern Android malware detection — but it is vulnerable to backdoor attacks. We propose a feature-selection defence that reduces this risk without sacrificing accuracy.
Behavioural Biometric System Based on Typing Errors
People make characteristic mistakes when they type. Can those mistakes serve as a biometric signature for authentication? This project built — and rigorously evaluated — a system that answers yes.