Anantaa Kotal

Ph.D. student at University of Maryland, Baltimore County

anantak1@umbc.edu

News
Bio

Hello! This is Anantaa!

I am a Ph.D. Candidate in Computer Science at the University of Maryland, Baltimore County, working with Dr. Anupam Joshi in the Ebiquity lab.

My research statement is "Privacy Preserving Data Synthesis using Generative Models." My research is on Data Privacy and Privacy Policy Enforcement. I am trying to come up with novel ways to make data shareable for public use, while keeping your personal information secure.

I work in Data Generation with Generative Models, Generative Adversarial Networks, etc. I am also experienced in Information Extraction and Knowledge Representation using Knowledge Graphs.

I am currently also a Course Instructor at UMBC; teaching CMSC 471: Intro to AI.

I was a Cybersecurity PhD intern at IBM for Summer 2021 and 2022. Before that, I worked as a Software Development Engineer for Amazon Development Centre, India. I have used deep learning and machine learning techniques for fraud and security risk analyis and security policy creation and enforcement.

Follow me on github to find out more about my work.

Publications

Most recent publications on Google Scholar.

PriveTAB: Secure and Privacy-Preserving sharing of Tabular Data Paper Code

Anantaa Kotal, Aritran Piplai, Sai Sree Laya Chukkapalli, Anupam Joshi

Proceedings of the 2022 ACM on International Workshop on Security and Privacy Analytics (IWSPA), 2022

The Effect of Text Ambiguity on creating Policy Knowledge Graphs Paper

Anantaa Kotal, Anupam Joshi, Karuna Pande Joshi

IEEE International Conference on Big Data and Cloud Computing (BDCLOUD), 2021

ViCLOUD: Measuring Vagueness in Cloud Service Privacy Policies and Terms of Services Paper

Anantaa Kotal, Karuna Pande Joshi, Anupam Joshi

IEEE International Conference on Cloud Computing (CLOUD), 2020

A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity Paper

Soham Dasgupta, Aritran Piplai, Anantaa Kotal, Anupam Joshi

IEEE International Conference on Big Data (BIGDATA), 2020

Using Knowledge Graphs and Reinforcement Learning for Malware Analysis Paper

Aritran Piplai, Priyanka Ranade, Anantaa Kotal, Sudip Mittal, Sandeep Nair Narayanan, Anupam Joshi

IEEE International Conference on Big Data (BIGDATA), 2020

Measuring Semantic Similarity across EU GDPR Regulation and Cloud Privacy Policies Paper

Lavanya Elluri, Karuna Pande Joshi, Anantaa Kotal

7th International Workshop on Privacy and Security of Big Data (PSBD 2020), in conjunction with 2020 IEEE International Conference on Big Data (IEEE BigData 2020)

Timeline
Acknowledgement

This website uses the website design and template by Martin Saveski.

Anantaa Kotal
Last updated 6/15/2020