activity
20222024
most citedPrivacy Analysis of Affine Transformations in Cloud-based MPC: Vulnerability to Side-knowledge

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SY2024

A code-driven tutorial on encrypted control: From pioneering realizations to modern implementations

Nils Schlüter, Junsoo Kim, Moritz Schulze Darup

The growing interconnectivity in control systems due to robust wireless communication and cloud usage paves the way for exciting new opportunities such as data-driven control and s…

eess.SY2024★ 2 cited

Privacy Analysis of Affine Transformations in Cloud-based MPC: Vulnerability to Side-knowledge

Teimour Hosseinalizadeh, Nils Schlüter, Moritz Schulze Darup +1

Search for the optimizer in computationally demanding model predictive control (MPC) setups can be facilitated by Cloud as a service provider in cyber-physical systems. This advant…

eess.SY2023

On the security of randomly transformed quadratic programs for privacy-preserving cloud-based control

Philipp Binfet, Nils Schlüter, Moritz Schulze Darup

Control related data, such as system states and inputs or controller specifications, is often sensitive. Meanwhile, the increasing connectivity of cloud-based or networked control…

cs.CR2023

Cryptanalysis of Random Affine Transformations for Encrypted Control

Nils Schlüter, Philipp Binfet, Moritz Schulze Darup

Cloud-based and distributed computations are of growing interest in modern control systems. However, these technologies require performing computations on not necessarily trustwort…

eess.SY2022★ 1 cited

Encrypted extremum seeking for privacy-preserving PID tuning as-a-Service

Nils Schlüter, Matthias Neuhaus, Moritz Schulze Darup

Wireless communication offers many benefits for control such as substantially reduced deployment costs, higher flexibility, as well as easier data access. It is thus not surprising…

eess.SY2022★ 1 cited

A deterministic view on explicit data-driven (M)PC

Manuel Klädtke, Dieter Teichrib, Nils Schlüter +1

We show that the explicit realization of data-driven predictive control (DPC) for linear deterministic systems is more tractable than previously thought. To this end, we compare th…