ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. - Dahoon Park; Kon-Woo Kwon; Sunghoon Im; Jaeha Kung (BMVC, 2021)

LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. - Seock-Hwan Noh; Junsang Park; Dahoon Park; Jahyun Koo 002; Jeik Choi; Jaeha Kung (ICCD, 2022)

A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications. - Dong-gu Choi; Jaehyun Lee; Jahyun Koo 002; Woo Kyoung Han; Dahoon Park; Jaeha Kung; Junghyup Lee; Jong-Hyeok Yoon (A-SSCC, 2024)

OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. - Jahyun Koo 002; Dahoon Park; Sangwoo Jung; Jaeha Kung (DAC, 2024)

SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation. - Sangwoo Hwang; Seunghyun Lee; Dahoon Park; Donghun Lee; Jaeha Kung (NeurIPS, 2024)

A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture. - Sangwoo Jung; Jaehyun Lee; Dahoon Park; Youngjoo Lee; Jong-Hyeok Yoon; Jaeha Kung (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting. - Gunil Kang; Dahoon Park; Hojin Lee; Sangwoo Jung; Jiyong Park; Jung Gyu Min; Youngjoo Lee; Jaeha Kung (ASP-DAC, 2025)