I’m an Assistant Professor at the Computer Science Department at Aarhus University, Denmark. My research focus is on (applied) secure computation as well as (lattice-based) zero knowledge protocols. Furthermore, I am interested into security for machine learning and secure protocol design using public ledgers.

Before starting on this position I have been a Postdoc at Aarhus University and Bar Ilan University, Israel. I obtained my PhD in 2016 from Aarhus University.

Preprints

Peer-reviewed Publications

2022

2021

2020

2019

2018

2016

2014

Peer-reviewed work outside of Cryptography

Teaching

In the Spring 2021 term I was teaching Optimization and Complexity together with Kristoffer Arnsfelt Hansen.

In the Fall 2020 term I have been teaching some parts of the Cryptographic Computing course at AU alongside Claudio Orlandi and Peter Scholl.

Other Work

I am organizing a Summer School on Privacy-Preserving Machine Learning together with Bernardo David from ITU Copenhagen. Sign up and join us in Copenhagen in the first week of August 2022.

I’ve been a Program Committee member of ACNS 2017, CCS 2019 Workshop on Privacy-Preserving Machine Learning, CCS 2019 Workshop on Encrypted Computing & Applied Homomorphic Cryptography ,The AAAI-20 Workshop on Privacy-Preserving Artificial Intelligence 2020 and 2021, IEEE ICME, LatinCrypt 2021, CCS 2021, ACISP 2021, PKC 2022.

I gave a presentation about Secure Computation in Tel Aviv in 2018. Here is a link to the video.

Projects

My work is currently funded by the DARPA SIEVE program (project FROMAGER) and the Open Philanthropy (project SecureDNA).

Contact

E-Mail: cbaum at cs dot au dot dk
Twitter: @crypto_carsten
LinkedIn: carsten-baum
Office: 5335-293 (Nygaard Building)