Hi, I’m Sajid

My name is Sajidur Rahman, commonly known as ‘Sajid’ (pronounced as ‘SA-ZID’). I am a Ph.D. student working as a research assistant in the Florida Institute for Cybersecurity Research Center at the University of Florida. I am co-advised by Profs. Vincent Bindschaedler and Byron Williams.

My research work intersects the following cross-cutting areas:

  • Security and Privacy Engineering
  • Deep Learning
  • Human-centered Computing

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 Engineering
  • Deep Learning
  • Human-centered Computing
Education
  • PhD in Computer Science, 2017 - Present

    University of Florida

  • MS in Computer Science, 2017

    Kansas State University

  • BSc in Computer Science & Engineering, 2011

    Bangladesh University of Engineering & Technology

Experience

 
 
 
 
 
Graduate Research Assistant
May 2017 – Present 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.
 
 
 
 
 
Graduate Research Assistant
Kansas State University
Aug 2014 – Dec 2016 Kansas
Applied text mining on the Stack Overflow dataset to gauge software developers’ security challenges.

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)