Controller Synthesis for Hyperproperties
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Abstract (arXiv)
We investigate the problem of controller synthesis for hyperproperties specified in the temporal logic HyperLTL. Hyperproperties are system properties that relate multiple execution traces. Hyperproperties can elegantly express information-flow policies like noninterference and observational determinism. The controller synthesis problem is to automatically design a controller for a plant that ensures satisfaction of a given specification in the presence of the environment or adversarial actions. We show that the controller synthesis problem is decidable for HyperLTL specifications and finite-state plants. We provide a rigorous complexity analysis for different fragments of HyperLTL and different system types: tree-shaped, acyclic, and general graphs.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jan 2021.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.
2 papers.
- 2025Hyperproperty-Constrained Secure Reinforcement Learning31 Jul 2025
- 2023Deductive Controller Synthesis for Probabilistic Hyperproperties10 Jul 2023