Dr. Dinil Mon Divakaran is a senior researcher with more than a decade of experience leading R&D of AI models addressing challenges primarily in the domain of cyber security and privacy, but also in the systems and network domain. He is also an Adjunct Assistant Professor of School of Computing in NUS, and collaborates with numerous researchers, experts and students in the field of cyber security, networking and AI. 

In his latest role as Research Lead at Acronis, he led a globally distributed team to develop AI models for detection of threats and attacks (malware, phishing, etc.).  In the past, Dinil headed Trustwave Research, the global cyber security R&D unit of Trustwave, developing research solutions and transitioning them into products. He has also worked at A*STAR Institute for Infocomm Research (I²R), and served as the Deputy Head of the Network Security department leading projects on network security and analytics.

Dinil's research experience cuts across both industry and academia. He previously held faculty position at the Indian Institute of Technology (IIT) Mandi. He carried out his doctoral studies at the INRIA lab in ENS Lyon in France, in collaboration with Bell Labs. He holds a Master degree in Computer Science and Engineering from IIT Madras, India.

Research experience and interests:

AI security:

Network, web and end-point security:

.. and ..

Research highlights:

Adversarial attack against AI-based phishing detection; an offensive strategy:

The following two works leverage CV models to detect and identify logos on a webpage, for phishing target identification:

.. and to the best of our knowledge, the first work to leverage BERT (LLM) for phishing email detection:

Building phishing detector resilient against adversarial attack:

An early work on leveraging Transformer model for learning network traffic characteristics:

Offense for defense: adversarial ML for countering fingerprinting attacks:

Related works using semi-supervised approaches: