I am an Assistant Professor in the Department of Computer Science at William & Mary, where I lead the Secure Platforms Lab (SPL). My research secures platforms such as smart phones and smart homes by evaluating automated security systems/frameworks used for vulnerability detection and compliance enforcement.
In particular, I build automated frameworks that enable qualitative and quantitative evaluation of security systems, through two main approaches: (1) evaluating security techniques using mutants, i.e., plausible but challenging variants of vulnerabilities/malware that represent practical cases observed in the wild (S&P’22, USENIX’18, ACM TOPS, ICSE’21 Tool Demo), and (2) developing an understanding of natural user behavior as well as threats through modeling of home automation (S&P’20), or security and privacy analysis of frameworks (USENIX’2022, ACM TCPS 2020, CODASPY 19 Best Paper, ACMiner).
I am looking for highly motivated PhD, Masters, and Bachelors students to join my lab (more info) !
Office: McGlothlin-Street Hall 104-C
Phone: (757) 221 2953
Email: apnadkarni at wm.edu
Adwait Nadkarni named a nominee for the 2022 CCI Impact Award! [Announcement]March 15, 2022
Our paper on smart home privacy policies has been conditionally accepted to the USENIX Security Symposium 2022!August 10, 2021
Our paper "Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques", has been accepted to the IEEE Symposium on Security and Privacy 2022! [S&P'22]August 2, 2021
Our medium proposal on "Enabling Data-Driven Security and Safety Analyses for Cyber-Physical Systems" has been funded! [NSF Abstract]June 30, 2021
Amit Seal Ami and Sunil Manandhar both receive COVA CCI Cybersecurity Dissertation Fellowships!May 26, 2021
Adwait Nadkarni receives the 2021 Graduate Faculty Mentoring Award! [Announcement]April 30, 2021
Sunil Manandhar selected as the 2021 Commonwealth of Virginia Engineering and Science (COVES) Policy Fellow! [Press Release]