| 2025 | HPCA | Let-Me-In: (Still) Employing In-pointer Bounds Metadata for Fine-grained GPU Memory Safety. | Jaewon Lee, Euijun Chung, Saurabh Singh, Seonjin Na, Yonghae Kim, Jaekyu Lee, Hyesoon Kim |
| 2025 | ISCA | Unified Memory Protection with Multi-granular MAC and Integrity Tree for Heterogeneous Processors. | Sunho Lee, Seonjin Na, Jeongwon Choi, Jinwon Pyo, Jaehyuk Huh |
| 2025 | MICRO | Swift and Trustworthy Large-Scale GPU Simulation with Fine-Grained Error Modeling and Hierarchical Clustering. | Euijun Chung, Seonjin Na, Sung Ha Kang, Hyesoon Kim |
| 2024 | HPCA | Supporting Secure Multi-GPU Computing with Dynamic and Batched Metadata Management. | Seonjin Na, Jungwoo Kim, Sunho Lee, Jaehyuk Huh |
| 2024 | ISCA | Barre Chord: Efficient Virtual Memory Translation for Multi-Chip-Module GPUs. | Yuan Feng, Seonjin Na, Hyesoon Kim, Hyeran Jeon |
| 2023 | MICRO | Improving Data Reuse in NPU On-chip Memory with Interleaved Gradient Order for DNN Training. | Jungwoo Kim, Seonjin Na, Sanghyeon Lee, Sunho Lee, Jaehyuk Huh |
| 2022 | HPCA | TNPU: Supporting Trusted Execution with Tree-less Integrity Protection for Neural Processing Unit. | Sunho Lee, Jungwoo Kim, Seonjin Na, Jongse Park, Jaehyuk Huh |
| 2022 | ICCD | Tunable Memory Protection for Secure Neural Processing Units. | Sunho Lee, Seonjin Na, Jungwoo Kim, Jongse Park, Jaehyuk Huh |
| 2021 | HPCA | Common Counters: Compressed Encryption Counters for Secure GPU Memory. | Seonjin Na, Sunho Lee, Yeonjae Kim, Jongse Park, Jaehyuk Huh |