Suman Jana

Suman's picture I am an assistant professor in the department of computer science at Columbia University. My primary research interests are at the intersection of computer security and machine learning. More specifically, I am interested both in using machine learning to improve software security and in improving security and reliability of the machine learning models themselves. I also occasionally delve into software engineering and operating systems.

Email: suman (AT)

Office: Mudd 412
    500 W 120th St
    New York
    NY 10027



  • NEUZZ (neural-network-assisted fuzzer) code is public now
  • DeepXplore and Moonshine got the 2nd and 3rd prizes in NYU CSAW Applied Research Competition
  • Moonshine is getting integrated with Syzkaller (Google's kernel fuzzer)
  • Neurify for formal verification of NN in NIPS 2018 (see below for code)
  • NSF medium (joint with NYU) grant on DL testing
  • ARO YIP award 2018
  • Two papers in USENIX Security 2018











2011 and older

A complete list of my papers can be found at Google Scholar. Please feel free to contact me if you have any question or feedback.


  • PhD: Kexin Pei (co-advised with Junfeng Yang), Shiqi Wang, Dongdong She, Gabriel Ryan (co-advised with Sal Stolfo), Dennis Roellke (co-advised with Roxana Geambasu).
  • Postdoc: Yizheng Chen
  • BS: Ruoxin (Amy) Jiang (CRA Outstanding Undergraduate Honorable Mentionee in 2017), Joshua Michael Zweig, Daniel Schwartz, John Hui, Jason Zhao, and Justin A. Whitehouse (CRA Outstanding Undergraduate Honorable Mentionee in 2018).
  • Student collaborators: George Argyros, Yuan Jochen Kang, Theofilos Petsios, Suphannee Sivakorn, and Adrian Tang.

Security advisories & open source outreach

Our research has resulted in reporting and fixing of more than 250 high-impact security vulnerabilities across a wide range of software.

Recent awards & honors

  • 2018 ARO Young Investigator Award
  • 2017 SOSP best paper award
  • 2017 Google Faculty Research Award
  • 2nd place in 2017 NYU CSAW Applied Research Competition
  • 2014 PET Award for Outstanding Research in Privacy Enhancing Technologies
  • IEEE S&P 2014 Best Practical Paper Award
  • Runner-up for the 2013 PET Award for Outstanding Research in Privacy Enhancing Technologies
  • IEEE S&P 2012 Best Student Paper Award
  • 2012 NYU-Poly AT&T Best Applied Security Paper Award
  • Google U.S./Canada Fellowship in Security (2012-2014)
  • MCD Fellowship (2009-2012)


Google Scholar profile, GitHub profile, LinkedIn profile, DBLP profile.