Hello readers,
This is Pranav Verma, I am currently working as a postdoc at the department of electrical engineering, Uppsala University, Sweden. My current research focuses on secure machine learning protocol using homomorphic encryption. We are also doing research on various other applications of cryptography to solve real world problems with privacy in mind, like money laundering detection and prompt injection attacks. Feel free to connect and talk more about data privacy.
I completed my PhD in 2024, fom Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, Gujarat. I did my thesis on Efficiency Challenges in Encryption-based Privacy Preserving Recommendation System. My thesis supervisor was Prof. Anish Mathuria and co-supervisor was Prof. Sourish Dasgupta.
In the last year of my PhD, I joined a research project on "Vulnerability Research on QUIC Implementations" funded by Defence Research and Development Organisation (DRDO), Govt of India as JRF. The goal of this project was to analyse the QUIC protocol for any potential vulnerability. We used TLS-Attacker tool and software fuzzing techniques for analysis.
Prior to joining DA-IICT, I completed my M.Tech. in Information and Network Security from Nirma University, Ahmedabad, and PG-Diploma from C-DAC Hyderabad.