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agentic-security-lab-duplicate

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  2. Upload folder using huggingface_hub

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  3. Clean up: remove build artifacts, debug logs, old notebook, internal docs

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  5. Fix plot crash: filter None values from metrics before np.convolve

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  6. Upload artifacts/baseline_vs_trained.png with huggingface_hub

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  9. Upload artifacts/reward_curve.png with huggingface_hub

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  10. Fix plot NoneType bug in rewards/entropy lists"

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  11. Redesigned train_job.py: fix reward signal (100x), DAPO-style GRPO, curriculum learning

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  12. Upload redesigned train_job.py header (full upload via job)

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  5. Delete round2-hackathon-spec.txt

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  6. Delete OpenEnv Hackathon - Provided Resources and Guidelines.pdf

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  7. Add anti-reward-hacking test suite: scan_logs spam, false positive exploitation, conclude gaming, repeat action exploit"

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  8. Fix train_grpo.py: rename SFT path, add actual GRPO CLI entrypoint with wired-in procedural gen + trajectory filter + adversarial attacker"

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  10. Rewrite README as clear project blog with all features documented"

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  11. Fix: set response_schema for Qwen2.5 tool-calling + add jmespath dep

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  12. Remove temp file

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  13. Fix: remove max_prompt_length (removed in TRL 1.x, Unsloth rejects it)

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  14. Remove max_prompt_length from GRPOConfig (removed in TRL 1.x, Unsloth rejects it)"

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  15. Fix dtype='auto' -> None for Unsloth compatibility (T4 requires float16, Unsloth auto-detects with None)"

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  16. Fix total_mem bug + integrate procedural gen, security APIs, StarPO-S, adversarial attacker into notebook"

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  17. Add adversarial attacker for self-play curriculum\n\nReference: SPIRAL (arXiv 2506.24119)\nAdaptive attacker that adds decoys, obscures IOCs, tightens deadlines,\nand exploits defender blind spots. Creates automatic difficulty scaling."

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  18. Add StarPO-S trajectory filtering for GRPO stability\n\nReference: RAGEN (arXiv 2504.20073)\nFilters to keep only informative rollouts, preventing echo trap collapse."

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  19. Add real-world security API integrations (OSV.dev, deps.dev, GHSA, npm)\n\nFree, no-auth-required live lookups against security databases.\nAdds genuine information-gathering vs time-pressure tradeoff."

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  20. Add procedural scenario generation (infinite training variation)\n\nGenerates unique supply-chain incidents from parameterized distributions.\nReference: Self-Evolving Curriculum (arXiv 2505.14970)"

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  21. Replace notebook with complete GRPO training pipeline (TRL environment_factory + Unsloth QLoRA)

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  5. initial commit

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