Hi! I am a PhD student at National University Of Singapore. I am doing my thesis with Prateek Saxena. I design scalable and trustworthy machine learning algorithms for learning on structured data such as graphs. I work on research problems that are motivated by practical relevance and at the same time have theoretical guarantees. In general, I am a systems security person and I am inclined to analyze the security of any newly introduced frameworks/ideas across all subfields of computer science. Attacks are interesting but defenses with guarantees are beautiful to me.
I have experience in program analysis, synthesis, debugging and security of blockchains.
I was fortunate to work with two exciting companies, Flipkart India and Aqilliz. Flipkart India (now owned by Walmart) gave me an opportunity to work on their anomaly detection engine. Aqilliz is an exciting startup from Singapore where I had a chance to demonstrate the impact of applying Differential Privacy protection on the utility of widely-used queries like recommendations.
My interests range widely from Computer Science to Psychology, Astronomy, Music, Cricket and Animals. I love singing and relish performing almost anything on a stage(of course after practicing….). I will probably stay in Singapore for at least another three years, so, If you are here then feel free to drop by and say hoi.
|Mar 1, 2023||[New!] Please find our work on scalable neural network training on distributed graphs on Arxiv here.|
|Aug 28, 2022||Our paper on new graph neural network architetures, LPGNet, that provide privacy for edges got accepted to CCS’22.|
|Jul 21, 2021||Our paper on private hierarchical clustering in federated networks got accepted to CCS’21.|
|Jun 21, 2021||Our paper on fault localization using a single exploit got the best paper award at AsiaCCS’21!|