个人简介
主要研究方向为系统安全、虚拟化、程序分析、及其在大模型安全领域的应用。在系统和网络安全领域国际顶级会议和期刊上发表学术论文多篇，包括IEEE S&P, ASPLOS, CCS, FAST, ESORICS, DSN, TIFS, TDSC等；专利多项；具有丰富的机密计算和隐私计算实践与落地经验。发现多个Intel、RedHat、阿里云等产品中的漏洞，取得多个CVE/CNVD漏洞编号。
本人长期与国内外知名高校的信息安全领域顶级教授合作，同时与大厂有密切学术交流；可推荐优秀同学出国深造/大厂实习。欢迎有意研究 系统安全、虚拟化、TEE、隐私保护 等方向的同学与我联系^^
个人主页
https://stanplatinum.github.io/
个人经历
2024.07 - 至今 南开大学，副教授
2021.11 - 2024.06 蚂蚁集团，技术专家/系统架构师
2021.09 - 2022.09 Indiana University Bloomington, Research Associate
2019.01 - 2021.09 Indiana University Bloomington, Postdoctoral Fellow
2018.07 - 2018.12 腾讯集团，技术大咖/青云计划
2015.08 - 2016.11 Singapore Management University, Research Assistant
2012.09 - 2018.06 武汉大学，博士
2008.09 - 2012.06 武汉大学，学士
代表论文
Pyramid: A Secure, Resource-Efficient, and Pluggable Kubernetes for Multi-Tenancy. European Conference on Computer Systems (EuroSys), 2026
Losing the Beat: Understanding and Mitigating Desynchronization Risks in Container Isolation. Network and Distributed System Security (NDSS) Symposium, 2026
AtomicDisk: A Secure Virtual Disk for TEEs against Eviction Attacks. USENIX Conference on File and Storage Technologies (FAST), 2025
Lost along the Way: Understanding and Mitigating Path-Misresolution Threats to Container Isolation. ACM SIGSAC Conference on Computer and Communications Security (CCS), 2023
Robbery on DevOps: Understanding and Mitigating Illicit Cryptomining on Continuous Integration Service Platforms. IEEE Symposium on Security and Privacy (Oakland), 2022
Retrofitting LBR Profiling to Enhance Virtual Machine Introspection. IEEE Transactions on Information Forensics and Security (TIFS), 2022
Trust Beyond Border: Lightweight, Verifiable User Isolation for Protecting In-Enclave Services. IEEE Transactions on Dependable and Secure Computing (TDSC), 2021
Incremental CFG Patching for Binary Rewriting. ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2021
Practical and Efficient in-Enclave Verification of Privacy Compliance. IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021
On-Demand Time Blurring to Support Side-Channel Defense. European Symposium on Research in Computer Security (ESORICS), 2017