1. Sunpill Kim, Yunseong Jeong, Jinsu Kim, Jungkon Kim, Hyung Tae Lee, and Jae Hong Seo. IronMask: Modular architecture for protecting deep face template. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (Top-tier conference in computer vision, acceptance rate: 23.4%)

  2. Seunghun Paik, Sunpill Kim, and Jae Hong Seo. Analysis on Locality Sensitive Hashing-based Biometric Template Protection Schemes, 34rd British Machine Vision Conference (BMVC), 2023. (Oral, acceptance rate:9%)

  3. Sunpill Kim, Yong Kiam Tan, Bora Jeong, Soumik Mondal, Khin Mi Mi Aung, and Jae Hong Seo, Scores Tell Everything about Bob: Non-adaptive Face Reconstruction on Face Recognition Systems, IEEE Symposium on Security and Privacy (S&P), 2024. (Top-tier conference in cybersecurity, acceptance rate: 14.9%)


  1. Bora Jeong, Sunpill Kim, Seunghun Paik, and Jae Hong Seo. Analysis on Secure Triplet Loss. IEEE Access, 10, 124355-124362, 2022. (IF: 5.113 according to SCImago)


  1. Sunpill Kim and Yong Kiam Tan, Formalization of the Schwartz-Zippel Lemma, Archive of Formal Proofs, April 2023.

  2. Sunpill Kim, Hoyong Shin, and Jae Hong Seo. Deep Face Template Protection in the Wild (Under Review)

  3. Sunpill Kim, Seunghun Paik, Chanwoo Hwang, Dongsu Kim, Junbum Shin, and Jae Hong Seo. IDFace: Efficient and Secure Identification for Face Images (Under Review)

  4. Minsu Kim, Seunghun Paik, Seong-ae Baek, SANGYUN SHIN, Sunpill Kim, and Jae Hong Seo. SilverMask: Face Template Protection with Fine-Grained Noise-Correction (Under Review)