| Jul 15, 2025 | I was excited to have my paper on black-box f-differential privacy estimators accepted at USENIX 2025! |
| Jun 02, 2025 | I’m excited to share that I’ve joined JPMorgan Chase as an AI Research Associate Intern this summer, working under the mentorship of Antigoni Polychroniadou. During the internship, I designed a new noise distribution that achieves higher accuracy than standard Gaussian noise in high-dimensional query settings. The new mechanism is also compatible with advanced matrix factorization techniques, enabling the addition of correlated noise to further improve accuracy. I am also glad to contribute to several other differential privacy–related projects. |
| Aug 31, 2024 | I was excited to have our paper on information-theoretic mluti-server PIR accepted at TCC 2024! |
| Jul 29, 2024 | I spent this summer as a visiting researcher at UMD, and I want to give a huge thanks to Professor Katz for being an amazing host! Next up, I’ll be heading to Georgia Tech to continue my PhD journey with Professor Zikas. I’m super grateful for everything that’s happened so far and can’t wait to see what the future holds! |
| Mar 19, 2024 | I was excited to have my paper on black-box differential privacy estimators accepted at S&P 2024! |
| Mar 05, 2024 | Please check my work "The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning" on arXiv. |
| Oct 09, 2023 | I was excited to win the 2023 Korea National Cryptography Contest First Prize! |