{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/verification-for-machine-learning-autonomy","title":"Verification for Machine Learning, Autonomy, and Neural Networks Survey","arxiv_id":"1810.01989","date":"2018-10-03","proceeding":null,"authors":["Weiming Xiang","Patrick Musau","Ayana A. Wild","Diego Manzanas Lopez","Nathaniel Hamilton","Xiaodong Yang","Joel Rosenfeld","Taylor T. Johnson"],"abstract":"This survey presents an overview of verification techniques for autonomous\nsystems, with a focus on safety-critical autonomous cyber-physical systems\n(CPS) and subcomponents thereof. Autonomy in CPS is enabling by recent advances\nin artificial intelligence (AI) and machine learning (ML) through approaches\nsuch as deep neural networks (DNNs), embedded in so-called learning enabled\ncomponents (LECs) that accomplish tasks from classification to control.\nRecently, the formal methods and formal verification community has developed\nmethods to characterize behaviors in these LECs with eventual goals of formally\nverifying specifications for LECs, and this article presents a survey of many\nof these recent approaches.","url_abs":"http://arxiv.org/abs/1810.01989v1","url_pdf":"http://arxiv.org/pdf/1810.01989v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"verification-for-machine-learning-autonomy","repo_url":"https://github.com/transafeailab/nnv","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"verification-for-machine-learning-autonomy","repo_url":"https://github.com/verivital/nnv","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"pytorch","reach":{"status":"ok"}}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"survey","task_name":"Survey"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.01989","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}