VeilTune fine-tunes LoRA adapters entirely inside secure MPC
From one 32-sample mini-batch of hidden states, authors copied a provider adapter on 99.2% of test inputs.
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From one 32-sample mini-batch of hidden states, authors copied a provider adapter on 99.2% of test inputs.
Researchers show replay can erase a classifier-head intervention's gains, formalizing intrinsic-extrinsic coupling in learning.
SLITE uses 17 linguistic features for textual entailment, reaching 83% on SICK and nearing RoBERTa.
Fine-tuned RoBERTa-large task permission classifier matches Claude Haiku 4.5 on access scoping for AI agents, cutting severity-weighted attack surface by 84.4%.
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