Vasisht Duddu
Ph.D. Student, Computer Science
Secure Systems Group
Cheriton School of Computer Science
CrySP Lab, University of Waterloo
vasisht.duddu at uwaterloo.ca
I am pursuing my Ph.D. in Computer Science at the University of Waterloo advised by N. Asokan as part of the Secure Systems Group in Cryptography, Security and Privacy (CrySP) Lab. My research is supported by David R. Cheriton Graduate Scholarship.
Research: I study different risks to security, privacy, fairness, and transparency in machine learning models. I design attacks to exploit these risks, defenses to counter them, and study the interplay between risks and defenses. Additionally, I work on ensuring accountability in machine learning pipelines to meet regulatory requirements.
Previous: I completed my masters from UWaterloo advised by N. Asokan. My thesis was on the effectiveness of Shapley Values to quantify membership privacy risk. Before UWaterloo, I worked with Antoine Boutet (INRIA (Privatics Lab)) on quantifying data privacy risks in machine learning. I completed my undergraduate from IIIT-Delhi, India where I received Dean's Award for Innovation, Research and Development for Fault Tolerant Neural Networks in benign and adversarial settings (advised by Valentina Balas). I have worked with Reza Shokri (National University of Singapore) on confidential machine learning, and Debasis Samanta (IIT Kharagpur) on timing side channels in neural networks.