Kameron Shahabi

About

I am a master's student in computer science at USC. I am part of the Theory Group, advised by the brilliant Prof. Vatsal Sharan.

My interests lie at the intersection of machine learning and cryptography. This includes algorithmic fairness, verifiable ML, privacy, and robustness.

Publications

• Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness
  Bhavya Vasudeva, Kameron Shahabi, Vatsal Sharan
  ICML Spurious Correlations, Invariance, and Stability, 2023
  ICML SCIS | pdf

• Toward Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-World Mobility Data
  Sirisha Rambhatla, Sepanta Zeighami, Kameron Shahabi, Cyrus Shahabi, Yan Liu
  ACM Transactions on Spatial Algorithms and Systems, 2022
  ACM TSAS | pdf

Projects

• pir-psi-contact-discovery: Prototype implementation of the private set intersection scheme from the paper 'Scaling Mobile Private Contact Discovery to Billions of Users'.

Education

• M.S. in Computer Science, University of Southern California
  Expected May 2024

• B.S. in Computer Science, University of Southern California
  May 2023