1 citations · 1 across the 3 of their papers we have counts for
7 papers
VeriFin: A Neurosymbolic Framework for Verifying LLM-Generated Financial Claims
Bethel Hall, Sachi Shome, William Eiers
Large language models often produce plausible numerical claims from financial filings while using the wrong reporting period, unit, line item, or formula. Verifying such claims req…
AutoCedar: An Agentic Framework for Verifier-Guided Access Control Policy Synthesis
Adarsh Vatsa, Sachi Shome, Yingming Zhou +1
Large Language Models are increasingly used to turn natural-language requirements into code. In access control, that shortcut is dangerous: a generated policy can compile and read…
Neurosymbolic Characterization for Reliable Access Control Policy Analysis
Adarsh Vatsa, Bethel Hall, William Eiers
Access control policies are reliability-critical configuration artifacts in cloud systems, yet administrators frequently struggle to verify that a policy permits exactly what they…
Neurosymbolic Auditing of Natural-Language Software Requirements
Bethel Hall, William Eiers
Natural-language software requirements are often ambiguous, inconsistent, and underspecified; in safety-critical domains, these defects propagate into formal models that verify the…
CloudFix: Automated Policy Repair for Cloud Access Control Policies Using Large Language Models
Bethel Hall, Owen Ungaro, William Eiers
Access control policies are vital for securing modern cloud computing, where organizations must manage access to sensitive data across thousands of users in distributed system sett…
Neural Theorem Proving: Generating and Structuring Proofs for Formal Verification
Balaji Rao, William Eiers, Carlo Lipizzi
Formally verifying properties of software code has been a highly desirable task, especially with the emergence of LLM-generated code. In the same vein, they provide an interesting…