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Author

Harsh Mandalgi

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#small language model Open access Oct 2026

DiagPriv: Preserving Diagnostic Structure While Reducing Sensitive Data Exposure in LLM Root-Cause Analysis

Operational evidence can contain the facts needed to diagnose a failure and identifiers or temporaldetails that need not be disclosed to an external model. We study diagnostic-invariant privacy-oriented transformation: changing the representation sent to a large language model while preservingthe relationships required...

Keshav Likhar, Harsh Mandalgi, Chaturvedi Mohit · 0 citations
#small language model Open access Oct 2026

DiagPriv: Preserving Diagnostic Structure While Reducing Sensitive Data Exposure in LLM Root-Cause Analysis

Operational evidence can contain the facts needed to diagnose a failure and identifiers or temporaldetails that need not be disclosed to an external model. We study diagnostic-invariant privacy-oriented transformation: changing the representation sent to a large language model while preservingthe relationships required...

Keshav Likhar, Harsh Mandalgi, Chaturvedi Mohit · 0 citations

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