Sotabase

Career

· Research Scientist, TikTok Inc.2023–
· Software Engineer, Anyscale Inc.2022–2023
· Intern, Google Research2021–2021
· Graduate Research Intern, Intel Labs2020–2020
· PhD in Computer Science, University of California, Berkeley2017–2022
· M.S. in Computer Science and Engineering, Pohang University of Science and Technology2016–2017
· System/Software Engineer, Penta Security Systems Inc.2013–2015
· Network Security Researcher, WINS Co. Ltd.2012–2013
· B.S. in Computer Science and Engineering, Pohang University of Science and Technology2009–2016

Publications (17)

Keystone: an open framework for architecting trusted execution environments
European Conference on Computer Systems · 2020
463
cited
FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud
International Symposium on Computer Architecture · 2018
244
cited
An Off-Chip Attack on Hardware Enclaves via the Memory Bus
USENIX Security Symposium · 2019
112
cited
Keystone: A Framework for Architecting TEEs
arXiv.org · 2019
51
cited
Keystone: An Open Framework for Architecting TEEs
2019
36
cited
Flexon: A Flexible Digital Neuron for Efficient Spiking Neural Network Simulations
International Symposium on Computer Architecture · 2018
28
cited
Sanctorum: A lightweight security monitor for secure enclaves
Design, Automation and Test in Europe · 2018
20
cited
Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing
Conference on Computer and Communications Security · 2022
19
cited
Verifying RISC-V Physical Memory Protection
arXiv.org · 2022
18
cited
Building Open Trusted Execution Environments
IEEE Security and Privacy · 2020
10
cited
Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple
arXiv.org · 2020
9
cited
Software-Based Off-Chip Memory Protection for RISC-V Trusted Execution Environments
2020
6
cited
RETROSPECTIVE: FireSim: FPGA-Accelerated Cycle-Exact Scale-Out System Simulation in the Public Cloud
2023
5
cited
ERTOS: Enclaves in Real-Time Operating Systems
2021
3
cited
Secure System for SaaS Implementation Without Data Trusting
2016
1
cited
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