Sajid Rahman

Sajid Rahman

Research Data Scientist

Google Cloud Security

Hi, I’m Sajid

My name is Sajid Rahman (pronounced as ‘SA-JID’). I am a research data scientist in Google Cloud Security (Team Mandiant), working at the intersection of cybersecurity and machine learning.

I completed my Ph.D. in Computer Science from the University of Florida, while working as a graduate research assistant at the Institute for Cybersecurity Research Center at University of Florida. I was co-advised by Profs. Vincent Bindschaedler and Byron Williams.

I completed M.Sc in Computer Science at Kansas State University under supervision of Prof. Eugene Vasserman and B.Sc degree in Computer Science from Bangladesh University of Engineering & Technology (BUET). In my previous life, I worked as a Software Engineer in the fintech industry for over 4+ years. During this period, I led and implemented projects such as a centralized MIS system for a large commercial bank, architecting and implementing a mobile payment engine at SureCash, which is still being used full-steam today and now one of the largest mobile banking providers in Bangladesh.

Download my resumé.

Interests
  • Security & Privacy Threat Modeling
  • Deep Learning
  • Human-centered Computing
Education
  • PhD in Computer Science, 2022

    University of Florida

  • MS in Computer Science, 2017

    Kansas State University

  • BSc in Computer Science & Engineering, 2011

    Bangladesh University of Engineering & Technology

Experience

 
 
 
 
 
Research Data Scientist
Nov 2022 – Present Florida
Contribute in developing and implementing anomaly detection systems, building threat intelligence platforms, and automating security operations.
 
 
 
 
 
Graduate Research Assistant
May 2017 – Aug 2022 Florida
Analysing app privacy policies and 3rd-party libs' private data collection and sharing behavior.
 
 
 
 
 
Research Intern
Avast Software, Inc
May 2020 – Aug 2020 California
Investigated infidelity in Android apps privacy policy with their actual sensitive data access pattern.
 
 
 
 
 
Research Intern
FireEye, Inc
May 2019 – Aug 2020 Reston, Virginia
Fine-tuned GPT-2 to generate synthetic disinformation for disinformation simulation and detection.

Recent Publications

Quickly discover relevant content by filtering publications.
(2021). SO{U}RCERER: Developer-Driven Security Testing Framework for Android Apps. In ASEW'21.

PDF Cite

(2021). Beyond 𝐿𝑝 clipping: Equalization based Psychoacoustic Attacks against ASRs. In ACML'21.

PDF Cite

(2018). API Blindspots: Why Experienced Developers Write Vulnerable Code. In SOUPS'18.

PDF Cite Slides

Teaching

I have been TA for the following courses:

  • CIS 6930: Applied Machine Learning (Spring'22) (Instructor: Prof. Vincent Bindschaedler)
  • CIS 6930: Trustworthy Machine Learning (Fall'21) (Instructor: Prof. Vincent Bindschaedler)
  • CIS 4930: Software Testing Continuous Delivery (Fall'21) (Instructor: Prof. Byron Williams)

I was a TA for the following courses at Kansas State University:

  • CIS450: Computer Architecture and Operations (Spring’15, 16 & 17)
  • CIS200: Programming Fundamentals (using Java) (Spring’15)