Hardware-based always-on heap memory safety Y Kim, J Lee, H Kim 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 53 | 2020 |
Hardware support to improve fuzzing performance and precision R Ding, Y Kim, F Sang, W Xu, G Saileshwar, T Kim Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 11 | 2021 |
Translating CUDA to OpenCL for hardware generation using neural machine translation Y Kim, H Kim 2019 IEEE/ACM International Symposium on Code Generation and Optimization …, 2019 | 10 | 2019 |
Securing gpu via region-based bounds checking J Lee, Y Kim, J Cao, E Kim, J Lee, H Kim Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 6 | 2022 |
Mitigating Timing-Based NoC Side-Channel Attacks With LLC Remapping A Kar, X Liu, Y Kim, G Saileshwar, H Kim, T Krishna IEEE Computer Architecture Letters 22 (1), 53-56, 2023 | 2 | 2023 |
A case study: Exploiting neural machine translation to translate CUDA to OpenCL Y Kim, H Kim arXiv preprint arXiv:1905.07653, 2019 | 2 | 2019 |
Hardware-Assisted Code-Pointer Tagging for Forward-Edge Control-Flow Integrity Y Kim, A Kar, J Lee, J Lee, H Kim IEEE Computer Architecture Letters 22 (2), 117-120, 2023 | | 2023 |
RV-CURE: A RISC-V Capability Architecture for Full Memory Safety Y Kim, A Kar, J Lee, J Lee, H Kim arXiv preprint arXiv:2308.02945, 2023 | | 2023 |
AOS-RISC-V: Towards Always-On Heap Memory Safety Y Kim, A Kar, S Singh, AA Ratnani, J Lee, H Kim | | |