Journals

• Verma, P. Mathuria, A. and Dasgupta, S. Efficient privacy preserving top-k recommendation using homomorphic sorting. Cryptology ePrint Archive, Paper 2022/1564, https://eprint.iacr.org/2022/1564.
• Verma, P., Mathuria, A., and Dasgupta, S. Efficient privacy-preserving top-k recommendation using homomorphic sorting. Poster in 21st International Conference on Cryptology and Network Security (CANS 2022).
• Verma, P., Mathuria, A., and Dasgupta, S. (2021, December). Faster Private Rating Update via Integer-Based Homomorphic Encryption. ICISS 2021 (pp. 218-236). Springer, Cham.
• Verma, P., Mathuria, A. and Dasgupta, S. Item-based PPRS with Offline Users and Reduced Trust Requirements. ICISS 2019. LNCS, vol 11952. Springer, Cham.
• Verma, P., Vaishnav, H., Mathuria, A. and Dasgupta, S., 2019, January. An Enhanced Privacy-Preserving Recommender System. In International Conference on Security & privacy (pp. 247-260). Springer, Singapore

Conferences

• Pranav Verma, Harshul Vaishnav, Anish Mathuria, and Sourish Dasgupta, "An Enhanced Privacy-Preserving Recommender System, " In  2nd ISEA International Conference on Security and Privacy (ISEA-ISAP 2018), Jaipur, India, 9-11 January, 2019.
• Pranav Verma, Anish Mathuria and Sourish Dasgupta, "Item-Based Privacy-Preserving Recommender System with Offline Users and Reduced Trust Requirements, " In  International Conference on Information Systems Security (ICISS 2019), Hyderabad, India, 16-20 December, 2019.

book chapters

• Pranav Verma, Anish Mathuria, and Sourish Dasgupta, "Faster Private Rating Update via Integer-Based Homomorphic Encryption", In Tripathy, S., Shyamasundar, R.K., Ranjan, R. (ed.), Springer, Singapore, pp. 218-236, ISBN: 78-3-030-92571-0.