AI & Cybersecurity researcher specialized in adversarial machine learning, federated learning, and intrusion detection systems (NIDS). Passionate about developing robust and explainable AI security solutions to counter adversarial threats.

I did my PhD in AI and Cybersecurity under the supervision of Professor Kouichi Sakurai.  AI intersects with cybersecurity in areas like:

• Adversarial Machine Learning: Securing AI systems against adversarial attacks.

• Network Security: Using AI to detect threats in real-time.

• Cryptography: Machine Learning techniques for secure communication and privacy.

I am currently a research scientist at NICT working on Network Security and  Adversarial Machine Learning. Adversarial machine learning focuses on understanding and mitigating attacks aimed at exploiting vulnerabilities in ML algorithms