activity
20092025
most citedsymQV: Automated Symbolic Verification of Quantum Programs

34 citations · 88 across the 11 of their papers we have counts for

collaborators

11 papers

cs.LO2025

Automated Consistency Analysis for Legal Contracts

Alan Khoja, Martin Kölbl, Stefan Leue +1

Business contracts, particularly sale and purchase agreements, often contain a large number of clauses and are correspondingly long and complex. In practice, it is therefore a grea…

cs.LG2023

Verifying Global Neural Network Specifications using Hyperproperties

David Boetius, Stefan Leue

Current approaches to neural network verification focus on specifications that target small regions around known input data points, such as local robustness. Thus, using these appr…

cs.LG2023

A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks

David Boetius, Stefan Leue, Tobias Sutter

Counterexample-guided repair aims at creating neural networks with mathematical safety guarantees, facilitating the application of neural networks in safety-critical domains. Howev…

cs.LO2022

Formal Modeling and Analysis of Legal Contracts using ContractCheck

Alan Khoja, Martin Kölbl, Stefan Leue +1

We describe a method and tool called \textit{ContractCheck} that allows for the consistency analysis of legal contracts, in particular Sales Purchase Agreements (SPAs). The analysi…

quant-ph2022★ 34 cited

symQV: Automated Symbolic Verification of Quantum Programs

Fabian Bauer-Marquart, Stefan Leue, Christian Schilling

We present symQV, a symbolic execution framework for writing and verifying quantum computations in the quantum circuit model. symQV can automatically verify that a quantum program…

cs.LG2021★ 6 cited

SpecRepair: Counter-Example Guided Safety Repair of Deep Neural Networks

Fabian Bauer-Marquart, David Boetius, Stefan Leue +1

Deep neural networks (DNNs) are increasingly applied in safety-critical domains, such as self-driving cars, unmanned aircraft, and medical diagnosis. It is of fundamental importanc…

cs.SE2020★ 3 cited

TarTar: A Timed Automata Repair Tool

Martin Koelbl, Stefan Leue, Thomas Wies

We present TarTar, an automatic repair analysis tool that, given a timed diagnostic trace (TDT) obtained during the model checking of a timed automaton model, suggests possible syn…

cs.FL2019★ 8 cited

Causality for General LTL-definable Properties

Georgiana Caltais, Sophie Linnea Guetlein, Stefan Leue

In this paper we provide a notion of causality for the violation of general Linear Temporal Logic (LTL) properties. The current work is a natural extension of the previously propos…

cs.LO2016★ 9 cited

(De-)Composing Causality in Labeled Transition Systems

Georgiana Caltais, Stefan Leue, Mohammad Reza Mousavi

In this paper we introduce a notion of counterfactual causality in the Halpern and Pearl sense that is compositional with respect to the interleaving of transition systems. The for…

cs.SE2011★ 25 cited

QuantUM: Quantitative Safety Analysis of UML Models

Florian Leitner-Fischer, Stefan Leue

When developing a safety-critical system it is essential to obtain an assessment of different design alternatives. In particular, an early safety assessment of the architectural de…

cs.LO2009★ 3 cited

Automated Predicate Abstraction for Real-Time Models

Bahareh Badban, Stefan Leue, Jan-Georg Smaus

We present a technique designed to automatically compute predicate abstractions for dense real-timed models represented as networks of timed automata. We use the CIPM algorithm in…