<ul data-eligibleForWebStory="true"><li>Data privacy concerns arise as resumes are easily shared, exposing private details to third parties.</li><li>LinkedIn profiles differ from job application resumes, as the context and consent change.</li><li>Various privacy enhancing technologies like Differential Privacy and Anonymization are explored for solutions.</li><li>An open-source Python library, ZINK, is introduced to anonymize sensitive data before sharing.</li><li>ZINK provides options to black out sensitive information, swap with fake data, or use pseudonyms.</li></ul>

A Little More Privacy for Your LLM Calls, Please.

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