Tracking Dataset IP Use in Deep Neural Networks. - Seonhye Park; Alsharif Abuadbba; Shuo Wang 012; Kristen Moore; Yansong Gao 001; Hyoungshick Kim; Surya Nepal (CoRR, 2022)

DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks. - Seonhye Park; Alsharif Abuadbba; Shuo Wang 012; Kristen Moore; Yansong Gao 001; Hyoungshick Kim; Surya Nepal (ACSAC, 2023)

Why Johnny Can't Use Secure Docker Images: Investigating the Usability Challenges in Using Docker Image Vulnerability Scanners through Heuristic Evaluation. - Taeyoung Kim; Seonhye Park; Hyoungshick Kim (RAID, 2023)

Poisoned ChatGPT Finds Work for Idle Hands: Exploring Developers' Coding Practices with Insecure Suggestions from Poisoned AI Models. - Sanghak Oh; Kiho Lee; Seonhye Park; Doowon Kim; Hyoungshick Kim (SP, 2024)

UniHENN: Designing Faster and More Versatile Homomorphic Encryption-Based CNNs Without im2col. - Hyunmin Choi; Jihun Kim; Seungho Kim; Seonhye Park; Jeongyong Park; Wonbin Choi; Hyoungshick Kim (IEEE Access, 2024)

UniHENN: Designing More Versatile Homomorphic Encryption-based CNNs without im2col. - Hyunmin Choi; Jihun Kim; Seungho Kim; Seonhye Park; Jeongyong Park; Wonbin Choi; Hyoungshick Kim (CoRR, 2024)