SAFT-GT is a new toolchain that bridges safety and security analysis for self-adaptive systems using Attack-Fault Tree generation and model combination, validated by a domain-expert user study.
Pawlowski, David L
2 Pith papers cite this work. Polarity classification is still indexing.
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A benchmarking experiment finds low rediscovery rates for three models on six Mythos-linked bug tasks, with only six target matches across 54 attempts under controlled prompting.
citing papers explorer
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Bridging Safety and Security in Complex Systems: A Model-Based Approach with SAFT-GT Toolchain
SAFT-GT is a new toolchain that bridges safety and security analysis for self-adaptive systems using Attack-Fault Tree generation and model combination, validated by a domain-expert user study.
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Benchmarking Mythos-Linked Bug Rediscovery
A benchmarking experiment finds low rediscovery rates for three models on six Mythos-linked bug tasks, with only six target matches across 54 attempts under controlled prompting.