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 practical 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.
Brendan Avent, Yatharth Dubey, Aleksandra Korolova
Proceedings on Privacy Enhancing Technologies. 2020.
Brendan Avent, Javier Gonzalez, Tom Diethe, Andrei Paleyes, Borja Balle
Proceedings on Privacy Enhancing Technologies. 2020. [video] [code] [paper]
Poster presentation in Privacy Preserving Machine Learning Workshop @CCS. 2019.
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, Nicholas Sharp, Dhruv Batra
SIAM Annual Meeting. Undergrad Presentation. 2014. [code]
CSCI 599: Spring 2017 and Spring 2016 with Aleksandra Korolova
CS/Stat 4654: Spring 2015 with Byron Smith
Stat 4106: Spring 2015 with Bill Woodall