I am a Ph.D. student in
USC's Department of Computer Science, advised by
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
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.
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.
Anna Ritz, Brendan Avent, T. M. Murali
ACM/IEEE Transactions on Computational Biology and Bioinformatics. 2015. [paper]
Brendan Avent, Anna Ritz, T. M. Murali
VTURCS Research Symposium. Poster. 2015. [poster]
Brendan Avent, Nicholas Sharp, Dhruv Batra
SIAM Annual Meeting. Undergrad Presentation. 2014.
Fall 2017 -- CS 599: Introduction to Algorithms and the Theory of Computing with Aaron Cote.
Spring 2015 -- Stat 4106: Theoretical Statistics II with Bill Woodall and also CS/Stat 4654: Intermediate Data Analytics & Machine Learning with Byron Smith.