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cs.CR2025
Can We End the Cat-and-Mouse Game? Simulating Self-Evolving Phishing Attacks with LLMs and Genetic Algorithms
Seiji Sato, Tetsushi Ohki, Masakatsu Nishigaki
Anticipating emerging attack methodologies is crucial for proactive cybersecurity. Recent advances in Large Language Models (LLMs) have enabled the automated generation of phishing…
cs.CV2025
Leveraging Intermediate Features of Vision Transformer for Face Anti-Spoofing
Mika Feng, Koichi Ito, Takafumi Aoki +2
Face recognition systems are designed to be robust against changes in head pose, illumination, and blurring during image capture. If a malicious person presents a face photo of the…