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🔗 Links and References

Links to research papers and resources corresponding to implemented features in this repository. Please feel free to fill in any missing references!


📌 Table of Contents


📗 Implemented Methods

Method Resource
GradAscent, GradDiff Naive baselines found in many papers including MUSE, TOFU etc.
NPO Paper 📄, Code 🐙
SimNPO Paper 📄, Code 🐙
IdkDPO TOFU (📄)
RMU WMDP paper (🐙, 🌐), later used in G-effect (🐙)

📘 Benchmarks

Benchmark Resource
TOFU Paper 📄
MUSE Paper 📄

📙 Evaluation Metrics

Metric Resource
Verbatim Probability / ROUGE, simple QA-ROUGE Naive metrics found in many papers including MUSE, TOFU etc.
Membership Inference Attacks (LOSS, ZLib, Reference, GradNorm, MinK, MinK++) MIMIR (🐙), MUSE (📄)
PrivLeak MUSE (📄)
Forget Quality, Truth Ratio, Model Utility TOFU (📄)
Extraction Strength (ES) Carlini et al., 2021 (📄), used for unlearning in Wang et al., 2025 (📄)
Exact Memorization (EM) Tirumala et al., 2022 (📄), used for unlearning in Wang et al., 2025 (📄)

🌐 Useful Links

📚 Surveys

🐙 Other GitHub Repositories