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cs.CR2026
Eliciting Least-to-Most Reasoning for Phishing URL Detection
Holly Trikilis, Pasindu Marasinghe, Fariza Rashid +1
Phishing continues to be one of the most prevalent attack vectors, making accurate classification of phishing URLs essential. Recently, large language models (LLMs) have demonstrat…
cs.CR2022
Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices
Oshan Jayawardana, Fariza Rashid, Suranga Seneviratne
Behaviour biometrics are being explored as a viable alternative to overcome the limitations of traditional authentication methods such as passwords and static biometrics. Also, the…