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 200 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)

Program committees

USENIX Security 2018, AsiaCCS 2018, CCS 2017, WiSec 2017, USENIX Security 2017, AsiaCCS 2017, MoST 2016, WWW 2016 (Security and Privacy Track), SPSM 2015, WWW 2015 (Security and Privacy Track), SPSM 2014, WPES 2014.


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