Code for our work on Distribution Inference
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Updated
Jul 19, 2024 - Jupyter Notebook
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property-inference
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Code for our paper 'Formalizing Distribution Inference Risks'
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Updated
Jul 20, 2021 - Python
Passive task-provenance attack on merged LoRA adapters: from the published weights alone (no queries, no metadata), spectral features reveal which task families went into a merge (AUC 0.97). Includes two defenses and why fixed-attacker evaluation overstates them. Code and results for the ATTRIB workshop paper, NeurIPS 2026.
privacy provenance lora adversarial-machine-learning peft machine-learning-security property-inference model-merging data-attribution neurips-2026
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Oct 11, 2026 - Jupyter Notebook
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