| 2022 | AsiaCCS | Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. | Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon |
| 2022 | CVPR | Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? | Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon |
| 2022 | ICML | AutoSNN: Towards Energy-Efficient Spiking Neural Networks. | Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon |
| 2021 | BMVC | Variance-stationary Differentiable NAS. | Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon |
| 2021 | ICCV | AdvRush: Searching for Adversarially Robust Neural Architectures. | Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon |
| 2021 | ICIP | Personalized Face Authentication Based On Few-Shot Meta-Learning. | Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon |
| 2021 | IJCAI | Accelerating Neural Architecture Search via Proxy Data. | Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon |
| 2020 | AAAI | Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. | Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon |
| 2020 | DAC | T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. | Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon |