Hadleigh Schwartz

Headshot

I'm a PhD student in Computer Science at Columbia University, advised by Xia Zhou, Dan Rubenstein, and Vishal Misra. I am broadly interested in computer vision, mobile systems, and security. Currently, my research aims to develop proactive technical solutions to combat deepfakes. I'm a recipient of a Columbia SEAS Presidential Distinguished Fellowship and a Amazon CAIT PhD Fellowship.

Previously, I completed my Bachelor's and Master's in Computer Science at the University of Chicago, advised by Heather Zheng at the SAND Lab.

Email / CV / LinkedIn

Research

* Denotes co-primary authors

Catch Me If You Can: Laser Tethering with Highly Mobile Targets

Charles J. Carver*, Hadleigh Schwartz*, Qijia Shao, Nicholas Shade, Joseph Lazzaro, Xiaoxin Wang, Jifeng Liu, Eric Fossum, Xia Zhou

Proceedings of the 21st USENIX Conference on Networked Systems Design and Implementation (NSDI). 2024.

Best demo award & SRC runner-up at ACM MobiCom ’23

[paper] / [demo video] / [presentation] /


Towards a General Video-based Keystroke Inference Attack

Zhoulin Yang*, Yuxin Chen*, Zain Sarwar, Hadleigh Schwartz, Ben Y. Zhao, Heather Zheng

Proceedings of the 32nd USENIX Security Symposium. 2023.

[paper]


Teaching/Service

I care deeply about teaching. In addition to serving as a TA for CSEE 4119 (Computer Networks), I participate in Columbia's Teaching Development Program, a multi-year evidence-based teaching certification by the Center for Teaching and Learning, aiding PhD students in refining their pedagogical practices.

Alongside Sam Deng, I co-coordinate Columbia's Emerging Scholars Program, a peer-taught course for first and second-year students aiming to enrich their experience in introductory-level CS courses and provide exposure to the breadth of the field. Unlike typical, programming-focused intro CS courses, ESP is discussion-based and centers on group problem-solving in various CS topics, from NLP to cryptography.

I also serve as a yearly reviewer for the CS department's PhD Pre-Submission Application Review (PAR) program.

Last updated May 27, 2025.