[SW Security] SBGen: A Framework to Efficiently Supply Runtime Information for a Learning-based HIDS for Multiple Virtual Machines(early access), IEEE Access, Nov 2020

SBGen: A Framework to Efficiently Supply Runtime Information for a Learning-based HIDS for Multiple Virtual Machines, Jiwon Seo, Inyoung Bang, Junseung You, Yeongpil Cho, Yunheung Paek,IEEE Access 2020

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International Papers

Privacy Enhancing Computing SLOTHE: Lazy Approximation of Non-Arithmetic Neural Network Functions over Encrypted Data, USENIX Security 2025
Privacy Enhancing Computing Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025 Affinity-based Optimizations for TFHE on Processing-in-DRAM, ASPLOS 2025
Privacy Enhancing Computing LOHEN: Layer-wise Optimizations for Neural Network Inferences over Encrypted Data with high Performance or Accuracy, USENIX Security 2025
Privacy Enhancing Computing Affinity-based Optimizations of Homomorphic Encryption Operations on Processing-in-DRAM, DAC WIP 2024