Jenni Reuben Shanthamoorthy
I am interested in problems concerning privacy challenges in data analyses. In this broad context, my focus is on the processing of interconnected data models such as graphs. Randomization is one of intuitive approach for distorting the output of an analysis to achieve a meaningful privacy guarantee. Differential privacy is a privacy model that provides a formal definition for such a privacy guarantee. However, the challenge in Differential privacy model is to release an accurate analysis yet achieving a meaningful privacy guarantee. In my research, I am interested in empirically evaluating techniques to improve accuracy of an analysis without compromising the privacy protection.
Teaching activities at KAU for which I am was a co-teacher:
- Spring 2018: DVGB07 - C#.NET.
- Spring 2018: DVGC25 - Supervision of Bachelor Thesis. Pontus Anttila, "Mot effektiv identifiering och insamling av brutna länkar med hjälp av en spindel"
I hold a dual master degree in Computer Science with main focus in information security, from KTH (Kungliga Tekniska Högskolan), Sweden and Aalto University, Finland. After which, I have worked as a software engineer for 51/2 years for industry leaders such as Verizon, Citi group and Symantec before starting my PhD endeavor.