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LoRA backdoor defenses rebound after few-shot reactivation

1 source · 2 articlesFirst reported Updated ()1 · 1 read
What's new

First merged summary.

Merged summary · x-ai/grok-4.7 · rewritten as coverage arrivesSummaries by Vani AI

Few-shot reactivation restored 91.7% to 100% attack success in one epoch for every weight-editing LoRA defense tested.

Researchers auditing subspace-projection defenses for backdoored LoRA adapters found that static success of 0.0% does not erase the backdoor. A rank-1 trigger-difference projection cut attack success from 60.4% to 0.0% on standard benchmarks and from 70.3% to 0.0% on a 1,000-sample suite in under five seconds. Models tested were Qwen2.5-0.5B, 1.5B, 3B and 7B, plus InternLM2.5 and Spark. Under five-sample few-shot reactivation, evaluated weight-editing defenses rebounded, all reaching 100.0% attack success by epoch 2.

Key facts
  • Rank-1 projection cut ASR from 60.4% to 0.0% and 70.3% to 0.0%.
  • Trigger-free calibration with benign polite suffixes reached 0.0% ASR.
  • Standard projections, Fine-Pruning, ANP and SVD truncation rebounded in one epoch.
  • Single-round dual variant reached 48.7% ASR in epoch 1 and 100.0% by epoch 2.
  • First-epoch loss was up to 5.7 times lower than training from scratch.
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What each outlet adds

beyond the shared facts
  • arXiv cs.CRReports reactivation rebound across weight-editing LoRA defenses and tested models.

Coverage

oldest first · one row per article · UTC
  1. · 2d ago arXiv cs.CRFirst report

    External monitors outperform prompt guardrails against agent injection

    On two Qwen2.5 models, a task-bound monitor admitted 1.3% and 7.7% of attacks after models proposed the attacker's call in 64% and 84%.

  2. · 1d ago arXiv cs.CR

    LoRA subspace projection suppresses backdoors but does not erase them

    Few-shot reactivation restored 91.7% to 100% attack success in one epoch for every weight-editing defense tested.