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Boris Köpf
About
I am a scientist at Azure Research (formerly the Confidential Computing group at Microsoft Research), where I work on
techniques for tracking information flow in microarchitecture and machine learning systems.
Prior to joining Microsoft 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
Principled Microarchitectural Isolation on Cloud CPUs (CCS '24) [pdf]
Gaussian Elimination of Side-channels: Linear Algebra for Memory Coloring (CCS '24) [pdf]
Speculation at Fault: Modeling and Testing Microarchitectural Leakage of CPU Exceptions (USENIX Security '23)
[pdf]
Hide and Seek with Spectres: Efficient discovery of
speculative information leaks with random testing (S&P '23)
[pdf]
(more)
Privacy-preserving Machine Learning
Closed-form Bounds for DP-SGD against Record-level Inference Attacks (USENIX Security '24)
[pdf]
Bayesian Estimation of Differential Privacy (ICML '23)
[pdf]
SoK: Let The Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning (S&P '23)
[pdf]
(more)
Upcoming Events
Usenix Security 2025 (PC member)
SaTML 2025 (PC member)
CCS 2024 (PC member)
(more)
Contact
email: boris.koepf@microsoft.com