Latest Articles for Verification

A tool for maintaining confidentiality and integrity in research data management.

E-graphs simplify verification processes for datapath circuits, enhancing efficiency and accuracy.

A new framework for safeguarding prompt creators' rights in AI tools.

Enhancing 5G protocol verification using advanced analysis methods.

A method that reduces neural network complexity to improve verification efficiency.

This article explores constant-time programming and hardware verification methods for enhanced security.

A new method improves reasoning abilities in language models using graphs.

An overview of key concepts in quantum computing, focusing on Sum-Over-Paths.

Addressing the need for accurate sustainability in data centers.

A new DSL enhances hardware design and verification, improving productivity and accuracy.

A guide to prefix authentication and its role in tracking event order.

A new approach enhances the safety of complex AI systems.

Learn how verifiable computation builds trust in sensitive data processing.

A look at how VeriFast improves verification of C programs using formal systems.

A new approach streamlines verification for concurrent programs across various memory models.

Grove provides a method for ensuring reliability in distributed systems.

This study combines EEG data with signatures for enhanced user identification and verification.

A new method reduces time in generating text with language models.

Learn about important techniques to verify quantum computation results.

Btor2MLIR offers a flexible toolchain for efficient hardware verification.

Explore the methods and benefits of recognizing individuals through their walking styles.

Learn how new techniques enhance the verification and discovery of denial constraints.

Learn how to verify if different workflow versions produce the same results.

A look into the importance of model verification for safety in AI systems.

This article discusses recent methods for verifying matrix multiplication efficiently.

A formal approach to identify privacy violations in quantum computing algorithms.

Examining how systems adapt to disruptions while achieving goals within time limits.

TroVE simplifies function creation for programming tasks, improving accuracy and efficiency.

A new method simplifies proving program properties using unrealizability logic.

A new framework speeds up information retrieval for language models.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

A system to check fairness in machine learning while protecting model privacy.

A new watermarking method safeguards customized language models from unauthorized use.

Model lakes could streamline the selection and management of machine learning models.

Exploring how compute providers can ensure AI compliance with regulations.

Learn how to verify complex systems efficiently using modern methods.

Gillian-Rust offers a novel way to verify unsafe Rust code effectively.

XAV enhances regex matching efficiency for high-speed network data.

DTV method enhances reliability of answers from large language models in math problems.

Rijkswaterstaat seeks better models for tunnel control systems.