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Anvesh Reddy Yenugu

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#artificial intelligence Preprint Sep 2026

Safer Content or Firmer Refusals? A Hybrid Perturbation Defense for Alignment under Harmful Fine-tuning

This work proposes VaccineBooster, a single alignment procedure that combines embedding perturbation and weight-level gradient attenuation within each training step, and indicates a trade-off: embedding perturbation primarily reduces flagged harmful content, whereas gradient attenuation primarily preserves explicit ref...

M. Akram, Mufid Kamel Marican, Anvesh Reddy Yenugu et al. · 0 citations

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