HYPER 2027

6th Workshop on Hyperproperties: Advances in Theory and Applications

19 July @ CAV 2027

Amsterdam, the Netherlands

The study of hyperproperties has recently gained a great deal of attention in the formal methods, security, and cyber-physical systems communities. They have become a widely-used formalism for expressing system properties such as information-flow policies, symmetry in hardware design, robustness in cyber-physical systems, as well as properties of learning-enabled systems. The goal of this workshop is to foster the exchange of ideas on the topic of hyperproperties between researchers from these diverse communities and to present and discuss recent advances in formalisms and methods for specifying and analyzing hyperproperties. Topics of interest include, but are not limited to, developments on logical formalisms for specifying hyperproperties, algorithmic methodologies for the verification, synthesis, and runtime verification of hyperproperties, as well as applications related to the fields of cyber-physical systems, security and machine learning.

Call for Presentations

The HYPER workshop aims to bring together researchers interested in the broad area of hyperproperties and working in the areas of formal methods and control, cybersecurity, and machine learning. HYPER 2027 is co-located with CAV 2027, and will take place in Amsterdam, the Netherlands, on July 19, 2027. Topics of interest include, but are not limited to:

  • Specification formalisms for hyperproperties
  • Algorithms for verification, synthesis, and runtime verification for hyperproperties
  • Information-flow control
  • Privacy
  • Fairness
  • Causality
  • Robustness
  • Explainability
  • Stability
  • Linearizability

Presentation proposals shall be submitted in form of an extended abstract of up to three pages in LNCS format (not including references). Submissions can overlap with previously published work and will be judged based on their relevance to the topic of the workshop. The review process will be single blind. The deadline for submission and the submission link will be announced here.

Organization

Tzu-Han Hsu, Harvard University

Tzu-Han Hsu

Harvard University, USA

François Hublet, ETH Zürich

François Hublet

ETH Zürich, Switzerland

N. Ege Saraç, CISPA

N. Ege Saraç

CISPA, Germany

Clara Schneidewind, MPI-SP

Clara Schneidewind

MPI-SP, Germany