I am a PhD student focusing on security and privacy for machine learning, at the National University of Singapore. I am supervised by Dr Biplab Sikdar, and am based in the NCript lab. I am currently working on adversarial attacks and defence methods when data generated by IoT sensors is used in machine learning applications.
After completing my bachelor's degree in Electrical and Electronics Engineering from VIT University in 2017, I received my MSc degree in Artificial Intelligence from the University of Edinburgh in 2018, where I completed several challenging coursework and research-based modules with distinction. I credit my time at Edinburgh for giving me a strong background in theoretical and probabilistic machine learning, and giving me the opportunity to work in diverse research projects ranging from computer vision and natural language processing, to using bayesian inference to infer skill level of professional Go players.
Feel free to get in touch with me to discuss my work, or any ideas you might have. You can reach me via email at abhijit[dot]singh@u.nus.edu, or connect with me on LinkedIn.
My publications can be found on Google Scholar, and some of my open-source code can be found on GitHub.