I am a Ph.D. student in USC's Department of Computer Science, advised by Aleksandra Korolova in the CS Theory Group.
My research currently explores privacy-preserving algorithms, focusing on making differential privacy practial for real-world use.

Prior to USC, I completed my undergraduate studies at Virginia Tech, where I earned my B.S. in Computer Science, B.S. in Mathematics, B.A. in Economics, and B.S. in Statistics. There, I was an undergrad research assistant under T. M. Murali, where I explored hypergraph algorithms and their applications to biological networks. Here, I was the primary designer and implementer of halp, the hypergraph algorithms package.


Automatic Discovery of Privacy-Utility Pareto Fronts
Brendan Avent, Javier Gonzalez, Tom Diethe, Andrei Paleyes, Borja Balle
Arxiv preprint. 2019. [video] [paper]

BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model
Brendan Avent, Aleksandra Korolova, David Zeber, Torgeir Hovden, Benjamin Livshits
26th USENIX Security Symposium. 2017. [video] [paper]
Selected for presentation in Private and Secure Machine Learning Workshop @ICML. 2017.
Selected for presentation in 3rd Workshop on the Theory and Practice of Differential Privacy @CCS. 2017.

Pathway Analysis with Signaling Hypergraphs
Anna Ritz, Brendan Avent, T. M. Murali
ACM/IEEE Transactions on Computational Biology and Bioinformatics. 2015. [paper]


Hypergraphs: Algorithms, Implementations, and Applications
Brendan Avent, Anna Ritz, T. M. Murali
VTURCS Research Symposium. Poster. 2015. [poster]

Machine Learning Models for Terrestrial Space Weather Forecasting
Brendan Avent, Nicholas Sharp, Dhruv Batra
SIAM Annual Meeting. Undergrad Presentation. 2014.

Teaching (Assistantships)

Fall 2017 -- CS 599: Introduction to Algorithms and the Theory of Computing with Aaron Cote.

Spring 2017 -- CS 599: Privacy in the World of Big Data with Aleksandra Korolova.

Spring 2016 -- CS 599: Privacy in the World of Big Data with Aleksandra Korolova.

Spring 2015 -- Stat 4106: Theoretical Statistics II with Bill Woodall and also CS/Stat 4654: Intermediate Data Analytics & Machine Learning with Byron Smith.

Spring 2014 -- CS 4104: Data and Algorithm Analysis with T. M. Murali.

Fall 2013 -- CS 4104: Data and Algorithm Analysis with Lenwood Heath.