About Me
I am a third year PhD student in Georgetown University. I am advised by Kobbi Nissim.
I am interested in the research on differential privacy, cryptography and complexity.
Publications and Preprints
Hilbert Functions and Low-degree Randomness Extractors (link)
Alexander Golovnev, Zeyu Guo, Pooya Hatami, Satyajeet Nagargoje, Chao Yan
Private Everlasting Prediction (link)
Moni Naor, Kobbi Nissim, Uri Stemmer, Chao Yan
NeurIPS2023 (oral), TPDP2023
Necessary Conditions in Multi-Server Differential Privacy (link)
Albert Cheu, Chao Yan
ITCS2023
Pure Differential Privacy from Secure Intermediaries (link)
Albert Cheu, Chao Yan
TPDP2022
The Sample Complexity of Distribution-Free Parity Learning in the Robust Shuffle Model (link)
Kobbi Nissim, Chao Yan
TPDP2021, Journal of Privacy and Confidentiality Nov 2022
Teachings
TA in Mathematical methods in computer science. (spring 2022)
TA in Algorithm. (Fall 2023)