* NDSS 2026: 'Select-Then-Compute: Encrypted Label Selection and Analytics over Distributed Datasets using FHE'
* IEEE ICTC: 'A Survey on Fuzzy Private Set Intersection Protocols'
* NeurIPS 2025: 'Non-Adaptive Adversarial Face Generation'
* arXiv: 'Non-Adaptive Adversarial Face Generation', 'IDFace: Face Template Protection for Efficient and Secure Identification'
* IACR ePrint 2025/054: 'Doubly Efficient Fuzzy Private Set Intersection for High-dimensional Data with Cosine Similarity'
- Awards:
* 2025 National Cryptographic Technology Contest (Applied Cryptography Track) Excellence Award
* 2025 National Cryptographic Technology Contest (Applied Cryptography Track) Special Award
- Conference Presentations:
* KCCV 2025: 'Towards Certifiably Robust Face Recognition'
* ICCV 2025: 'IDFace: Face Template Protection for Efficient and Secure Identification'
Research Experience
- Project: Participated in the research project supported by Korea Institute of Information Security and Cryptology (KIISC) - Adversarial Attacks and Security Analysis on Commercial Face Recognition APIs
Education
- Degree: PhD in progress
- University: Hanyang University
- Advisor: Prof. Jae Hong Seo
- Major: Mathematics (Specializing in Cryptography)
Background
- Research Interests: Solving real-world security and privacy problems through mathematical and cryptographic tools
- Specialization: Cryptography, Verifiable Computation & Zero-Knowledge Proofs, Devising Cryptographic Tools for Real-valued Fuzzy Data, Secure AI & Biometrics, Security Analysis on Deep Learning-based Face Recognition Systems, Biometric Template Protection (in cryptographic approach), Adversarial Machine Learning (in theoretical perspective)
- Miscellaneous: Computational Number Theory & Algorithms, Complexity Theory