Applied cryptography
Research
I am interested in designing cryptographic protocols that provide privacy, anonymity, and security guarantees while still allowing useful computation
§ Research map
Research themes
Theme 01
Private Data Analytics
Research question
How can we compute useful information from sensitive data without revealing the individual data itself?
Many useful computations require combining sensitive data contributed by multiple users or organizations. I am interested in cryptographic techniques that enable aggregate statistics and other useful computations while limiting what is revealed about individual inputs. This includes secure aggregation, private computation, and applications such as federated learning.
Selected work
Theme 02
Private and Anonymous Systems
Research question
How can users interact with a public or distributed system without revealing who they are or what they are doing?
Many systems reveal information simply through participation: who communicates with whom, who performs a transaction, or which user retrieves a message. I study cryptographic protocols that provide strong privacy and anonymity guarantees in settings such as blockchains, communication systems, private retrieval, and decentralized applications.
Selected work
- PriFHEte: Achieving Full-Privacy in Account-based Cryptocurrencies is Possible
ASIACRYPT / 2025
- HomeRun: High-efficiency Oblivious Message Retrieval, Unrestricted
CCS / 2024
- Jäger: Automated Telephone Call Traceback
CCS / 2024
- Private Signaling
USENIX Security / 2022
Theme 03
Cryptographic Protocols
Research question
What new cryptographic tools make private computation more efficient or provide stronger security guarantees?
I also work on the design and analysis of cryptographic protocols and primitives that enable private computation.