I am an assistant research scientist in the EECS department at the University of Michigan, working with Prof. Mingyan Liu. I received my MSE and PhD in electrical engineering from the University of Michigan, and my BSc in electrical engineering from Sharif University of Technology in Iran.

My research focuses on the applications of machine learning and data-driven analysis for security and Internet measurement, as well as the economics of information security.

Teaching

  • Fall 2018, Winter 2019 - Engineering 100: Self-Driving Cars, Drones, and Beyond, An Intro to Autonomous Electronic Systems

Publications

Journal Papers

  • Risky Business: Fine-Grained Data Breach Prediction Using Business Profiles
  • Armin Sarabi, Parinaz Naghizadeh, Yang Liu, and Mingyan Liu
  • Journal of Cybersecurity, 2016

Conference Papers

  • Characterizing the Internet Host Population Using Deep Learning: A Universal and Lightweight Numerical Embedding
  • Armin Sarabi, and Mingyan Liu
  • Internet Measurement Conference (IMC), 2018
  • From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild
  • Chaowei Xiao, Armin Sarabi, Yang Liu, Bo Li, Mingyan Liu, and Tudor DumitraƟ
  • Usenix Security Symposium, 2018
  • Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State
  • Armin Sarabi, Ziyun Zhu, Chaowei Xiao, Mingyan Liu, and Tudor DumitraƟ
  • International Conference on Passive and Active Network Measurement (PAM), 2017
  • Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles
  • Armin Sarabi, Parinaz Naghizadeh, Yang Liu, and Mingyan Liu
  • Workshop on the Economics of Information Security (WEIS), 2015
  • Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents
  • Yang Liu, Armin Sarabi, Jing Zhang, Parinaz Naghizadeh, Manish Karir, Michael Bailey, and Mingyan Liu
  • Usenix Security Symposium, 2015
  • Predicting Cyber Security Incidents Using Feature-Based Characterization of Network-Level Malicious Activities
  • Yang Liu, Jing Zhang, Armin Sarabi, Mingyan Liu, Manish Karir, and Michael Bailey
  • ACM International Workshop on Security and Privacy Analytics (IWSPA), 2015

Talks

  • Compressing the Internet Using Deep Learning: Numerical Characterization of the Internet Host Population
  • CSP Seminar, University of Michigan, Apr 2017