We are interested in predicting failures of cyber-physical systems during their operation.
Particularly, we consider stochastic systems and signal temporal logic specifications, and we …

Hyperproperties are properties of computational systems that require more than one trace to
evaluate, eg, many information-flow security and concurrency requirements. Where a trace …

This paper introduces a bounded model checking (BMC) algorithm for hyperproperties
expressed in HyperLTL, which—to the best of our knowledge—is the first such algorithm …

Uncertainty in safety-critical cyber-physical systems can be modeled using a finite number of
parameters or input signals. Given a system specification in Signal Temporal Logic (STL) …

In this survey, we design formal verification and control algorithms for autonomous systems
with practical safety guarantees using conformal prediction (CP), a statistical tool for …

Modern day industrial control systems are overwhelmingly complex. These systems feature
intricate interactions between the cyber and the physical components. At the same time, they …

Hyperproperties are properties that describe the correctness of a system as a relation
between multiple executions. Hyperproperties generalize trace properties and include …

The use of Neural Network (NN)-based controllers has attracted significant attention in
recent years. Yet, due to the complexity and non-linearity of such NN-based cyber-physical …

Motivated by the fragility of neural network (NN) controllers in safety-critical applications, we
present a data-driven framework for verifying the risk of stochastic dynamical systems with …

We study the problem of formalizing and checking probabilistic hyperproperties for models
that allow nondeterminism in actions. We extend the temporal logic HyperPCTL, which has …