Translating CUDA to OpenCL for Hardware Generation using Neural Machine Translation. - Yonghae Kim; Hyesoon Kim (CGO, 2019)

A Case Study: Exploiting Neural Machine Translation to Translate CUDA to OpenCL. - Yonghae Kim; Hyesoon Kim (CoRR, 2019)

Hardware-based Always-On Heap Memory Safety. - Yonghae Kim; Jaekyu Lee; Hyesoon Kim (MICRO, 2020)

Hardware Support to Improve Fuzzing Performance and Precision. - Ren Ding 001; Yonghae Kim; Fan Sang; Wen Xu 002; Gururaj Saileshwar; Taesoo Kim (CCS, 2021)

Securing GPU via region-based bounds checking. - Jaewon Lee; Yonghae Kim; Jiashen Cao; Euna Kim; Jaekyu Lee; Hyesoon Kim (ISCA, 2022)

Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping. - Anurag Kar; Xueyang Liu; Yonghae Kim; Gururaj Saileshwar; Hyesoon Kim; Tushar Krishna (IEEE Comput. Archit. Lett., 2023)

Hardware-Assisted Code-Pointer Tagging for Forward-Edge Control-Flow Integrity. - Yonghae Kim; Anurag Kar; Jaewon Lee; Jaekyu Lee; Hyesoon Kim (IEEE Comput. Archit. Lett., 2023)

RV-CURE: A RISC-V Capability Architecture for Full Memory Safety. - Yonghae Kim; Anurag Kar; Jaewon Lee; Jaekyu Lee; Hyesoon Kim (CoRR, 2023)

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 (HPCA, 2025)

Efficient Hardware-Assisted Heap Memory Safety for Embedded RISC-V Systems. - Hyunjae Park; Yonghae Kim; Dongwook Kang; Hongil Ju; Gaeil An; Yong Woo Kim (IEEE Access, 2025)

Hardware-based Always-On Memory Safety. - Yonghae Kim (2025)