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@sofiane87 sofiane87 commented Dec 25, 2025

This PR addresses issue #18 by making the data domain a requirement within the core models.

It is noteworthy that in the intended use of the models is through the generative pipeline layer, which combines preprocessing and model fitting/generation, to ensure that no unintended privacy leakage occurs. While the models can be used directly, doing so requires explicitly providing the data domain in order to maintain the same privacy guarantees.

@sofiane87 sofiane87 linked an issue Dec 25, 2025 that may be closed by this pull request
@sofiane87 sofiane87 requested a review from ganevgv December 25, 2025 17:25
@sofiane87 sofiane87 force-pushed the 18-privacy-leak-via-data-dependent-domain-inference branch from 5f9052a to b9a54bd Compare December 25, 2025 17:32
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github-actions bot commented Dec 25, 2025

☂️ Python Coverage

current status: ✅

Overall Coverage

Lines Covered Coverage Threshold Status
2586 1979 77% 0% 🟢

New Files

No new covered files...

Modified Files

File Coverage Status
src/dpmm/models/aim.py 84% 🟢
src/dpmm/models/base/base.py 85% 🟢
src/dpmm/models/base/mbi/inference.py 57% 🟢
src/dpmm/models/base/mechanisms/mechanism.py 91% 🟢
src/dpmm/models/mst.py 86% 🟢
src/dpmm/models/priv_bayes.py 81% 🟢
src/dpmm/pipelines/base.py 90% 🟢
TOTAL 82% 🟢

updated for commit: 68e7b03 by action🐍

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lgtm

Signed-off-by: sofiane87 <sofiane-mahiou@hotmail.fr>

Add Sphinx documentation and Read the Docs configuration

Ensure domain is always required

Add comment in README
@sofiane87 sofiane87 force-pushed the 18-privacy-leak-via-data-dependent-domain-inference branch from 229d71c to 8f7b575 Compare January 12, 2026 09:42
Signed-off-by: sofiane87 <sofiane-mahiou@hotmail.fr>
@sofiane87 sofiane87 force-pushed the 18-privacy-leak-via-data-dependent-domain-inference branch from a7a17dc to 68e7b03 Compare January 12, 2026 11:16
@sofiane87 sofiane87 merged commit b784592 into main Jan 12, 2026
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Privacy Leak via Data-Dependent Domain Inference

3 participants