Papers by Vasisht Duddu

2 papers
Locket: Robust Feature-Locking Technique for Language Models (2026.acl-long)

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Challenge: Existing FLoTEs (e.g., password-locked models) fail to meet these criteria.
Approach: They propose a feature-locking technique that is effective in refusing locked features . they propose scalable FLoTEs that can selectively disable specific features of a model .
Outcome: The proposed solution is effective (100% refusal rate), utility-preserving ( 7% utility degradation), robust (5% attack success rate), and scalable to multiple features and clients.
PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing (2026.findings-eacl)

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Challenge: Existing defense mechanisms to mitigate PII leakage are limited by existing defenses . a new approach, PATCH, identifies and edits PI I circuits to reduce leakage .
Approach: They propose to use PATCH: Privacy-Aware Targeted Circuit Patching to identify PII leakage circuits in language models to reduce leakage.
Outcome: The proposed approach reduces leakage by up to 65% and can reduce residual leakage to as low as 0.01%.

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