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 emerging platforms such as smart phones and smart homes by (1) exploring practical OS-based defenses to protect the user from malicious or vulnerable end-user software (CCS’13, USENIX’14, USENIX’16, CODASPY’19, CODASPY 19 Best Paper, ACM TCPS 2020), and (2) designing frameworks that evaluate security analyses to understand their practical effectiveness and improve vulnerability and malware detection for end-user software (USENIX’18, S&P’20, ICSE Tool Demo, ACM TOPS, S&P’22).

Join us!

I am looking for highly motivated PhD, Masters, and Bachelors students to join my lab (more info) !

Contact Information

Office: McGlothlin-Street Hall 104-C

Phone: (757) 221 2953

Email: apnadkarni at wm.edu

Quick Links

  • MASC, for evaluating crypto-API misuse detectors
  • Helion, for generating realistic home automation scenarios
  • μSE, for evaluating Android data-leak detectors
  • Currently teaching: CSCI 667

Recent Professional Service

  • ISOC NDSS Program Committee: 2022, 2021, 2020
  • USENIX Security Symposium Program Committee: 2021, 2019, 2018
  • IEEE/ACM ASE Program Committee: 2021
  • ACM CCS Program Committee: 2018
  • ISOC NDSS Poster Co-chair: 2020, 2021


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 proposal on "Enabling Data-Driven Security and Safety Analyses for Cyber-Physical Systems" has been funded! [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]

... see all news