Seunghun Paik
Scholar

Seunghun Paik

Google Scholar ID: VMivnD4AAAAJ
PhD Student at Hanyang University
CryptographyBiometricsFace Recognition
Citations & Impact
All-time
Citations
7
 
H-index
2
 
i10-index
0
 
Publications
8
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • - Publications:
  • * 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
Miscellany
  • - Contact: whitesoonguh@hanyang.ac.kr
  • - LinkedIn: https://www.linkedin.com/in/seunghun-paik-8b02b7224/