The latest articles on DEV Community by BAder82t (@bader82t). https://dev.to/bader82t https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3879131%2F622c76be-a4c2-4127-aab9-3c770adb2770.png https://dev.to/bader82t en BAder82t Tue, 14 Apr 2026 18:21:58 +0000 https://dev.to/bader82t/cipherexplain-encrypted-explainable-ai-for-privacy-preserving-ml-interpretability-cl4 https://dev.to/bader82t/cipherexplain-encrypted-explainable-ai-for-privacy-preserving-ml-interpretability-cl4 <h2> The Problem Nobody Talks About </h2> <p>GDPR and HIPAA require data to stay encrypted.<br><br> The EU AI Act (Article 13) requires AI systems to explain their decisions. </p> <p>These two rules are on a collision course.</p> <p>A credit bureau <strong>cannot decrypt applicant data</strong> to compute an explanation — but regulators say it <strong>must provide one</strong>.</p> <h2> What CipherExplain Does </h2> <p>CipherExplain computes <strong>SHAP feature attributions entirely under Fully Homomorphic Encryption (FHE)</strong>. The server never sees plaintext. The client gets a complete explanation of which features drove the prediction — all on encrypted data.</p> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Metric</th> <th>Value</th> </tr> </thead> <tbody> <tr> <td>SHAP accuracy MAE vs KernelSHAP</td> <td>0.009</td> </tr> <tr> <td>Efficiency axiom error</td> <td>0.0 (machine epsilon)</td> </tr> <tr> <td>Coalition compression (d=50)</td> <td>2^50 → 390 evaluations</td> </tr> <tr> <td>CKKS latency (d=50, M1)</td> <td>~10s end-to-end</td> </tr> </tbody> </table></div> <h2> Why it matters </h2> <ul> <li>Explanations stay private</li> <li> Still fully interpretable by authorized users</li> <li> Ideal for healthcare, finance, and security use cases</li> </ul> <h2> Get started </h2> <p>👉 GitHub: <a href="https://github.com/VaultBytes/CipherExplain" rel="noopener noreferrer">https://github.com/VaultBytes/CipherExplain</a><br> 📦 PyPI: <code>pip install cipherexplain</code> </p> <blockquote> <p>Licensed AGPL-3.0. Patent-pending: PCT/IB2026/053378, PCT/IB2026/053405.<br><br> Patent licensing: <a href="mailto:b@vaultbytes.com">b@vaultbytes.com</a></p> </blockquote> ai explainableai security machinelearning