b86ae87b75
Event-Reified Temporal Provenance Dual-Granularity Prompting for LLM-based APT detection on DARPA provenance datasets. Includes phase 0-14 method spec, IR/graph/metapath/trimming/prompt modules, scripts for THEIA candidate universe, landmark CSG construction, hybrid prompting, and LLM inference. Excludes data/, reports/, and local LLM config from version control.
36 lines
749 B
TOML
36 lines
749 B
TOML
[project]
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name = "er-tp-dgp"
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version = "0.1.0"
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description = "Event-Reified Temporal Provenance Dual-Granularity Prompting for LLM-based APT detection"
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requires-python = ">=3.10"
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readme = "README.md"
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license = { text = "Research prototype" }
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authors = [{ name = "ER-TP-DGP collaborators" }]
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dependencies = ["PyYAML>=6.0"]
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[project.optional-dependencies]
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dev = ["pytest>=7.0"]
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local = [
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"torch>=2.3",
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"transformers>=4.45",
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"peft>=0.12",
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"accelerate>=0.34",
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"bitsandbytes>=0.43",
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"datasets>=2.20",
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"numpy>=1.26",
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]
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embed = [
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"sentence-transformers>=3.0",
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"numpy>=1.26",
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]
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eval = [
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"scikit-learn>=1.4",
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]
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[tool.pytest.ini_options]
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pythonpath = [".", "src"]
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testpaths = ["tests"]
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[tool.ruff]
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line-length = 100
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