[The <b>SwarmHost</b> Framework] A Unified Framework for Neural Network Verification
<p dir="ltr">The <b>SwarmHost </b>framework is a unified framework for neural network verification. It has been effectively employed by various research tools including <a href="https://figshare.com/articles/software/The_b_GDVB_b_Framework_Systematic_Generation_of_Diverse_Benchmarks_for_DNN_Verification/25231328" rel="noreferrer" target="_blank"><b>GDVB</b></a>, <a href="https://figshare.com/articles/software/The_b_Ada_b_b_GDVB_b_Framework_Adaptive_Benchmark_Generation_forDNN_Verification/25239367" rel="noreferrer" target="_blank"><b>AdaGDVB</b></a>, and <a href="https://figshare.com/articles/software/The_b_OCTOPUS_b_Framework_Training_for_Verification_Increasing_Neuron_Stability_to_Scale_DNN_Verification/24916248" rel="noreferrer" target="_blank"><b>OCTOPUS</b></a>. This framework offers a standardized set of inputs and APIs that facilitate three key functionalities: 1) the generation of verification properties, 2) the execution of verifiers, and 3) the analysis of their outcomes. At present, it supports five verification tools namely abcrown, mn-bab, nnenun, verinet, and neuralsat. Furthermore, the SwarmHost framework is continuously evolving with the addition of new tools, features, and documentation. Please consult our <a href="https://github.com/edwardxu0/SwarmHost" rel="noreferrer" target="_blank"><b>SwarmHost</b> </a>GitHub repository for ongoing development.</p>