3 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
NLP Verification: Towards a General Methodology for Certifying Robustness
Marco Casadio, Tanvi Dinkar, Ekaterina Komendantskaya +6
Machine Learning (ML) has exhibited substantial success in the field of Natural Language Processing (NLP). For example large language models have empirically proven to be capable o…
Compiling High-Level Neural Network Specifications into VNN-LIB Queries
Matthew L. Daggitt, Wen Kokke, Robert Atkey
The formal verification of traditional software has been revolutionised by verification-orientated languages such as Dafny and F* which enable developers to write high-level specif…
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Haoze Wu, Omri Isac, Aleksandar Zeljić +14
This paper serves as a comprehensive system description of version 2.0 of the Marabou framework for formal analysis of neural networks. We discuss the tool's architectural design a…
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
Matthew L. Daggitt, Wen Kokke, Robert Atkey +3
Neuro-symbolic programs, i.e. programs containing both machine learning components and traditional symbolic code, are becoming increasingly widespread. Finding a general methodolog…