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Boris Köpf
About
I am a researcher in the Confidential Computing group at Microsoft Research Cambridge, working on
techniques for tracking information flow in microarchitecture and machine learning systems.
Prior to joining MSR in November 2018, I was a
tenured faculty at the IMDEA Software Institute, a postdoc at the Max
Planck Institute for Software Systems, and a Ph.D. student at ETH
Zurich.
Recent Work
Microarchitectural Security
Hide and Seek with Spectres: Efficient discovery of
speculative information leaks with random testing (S&P '23)
[pdf]
Revizor: Testing Black-box CPUs against Speculation Contracts (ASPLOS '22)
[pdf][git]
Hardware-Software Contracts for Secure Speculation (S&P '21)
[pdf]
Spectector: Principled Detection of Speculative Information Flows (S&P '20)
[pdf][git]
(more)
Privacy-preserving Machine Learning
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (arXiv)
[pdf]
Bayesian Estimation of Differential Privacy (arXiv)
[pdf]
Grey-box Extraction of Natural Language Models (ICML '21)
[pdf]
Analyzing Information Leakage of Updates to Natural Language Models (CCS '20)
[pdf]
(more)
Upcoming Events
USENIX Security 2023 (PC member)
SaTML 2023, IEEE Conference on Secure and Trustworthy Machine Learning (PC member)
S&P 2023, IEEE Symposium on Security and Privacy (PC member)
NUS Computer Science Research Week 2022 (speaker)
Summer School on Real-World Crypto and Privacy 2022 (speaker)
(more)
Contact
email: boris.koepf@microsoft.com