Fine-Tuning
Safeguard articles tagged "Fine-Tuning" — guides, analysis, and best practices for software supply chain and application security.
5 articles
Training Data Provenance for Enterprise Fine-Tuning
Fine-tuning corpora are supply chain artifacts. We cover the provenance signals, attestations, and drift controls enterprises need before pushing weights to prod.
Fine-Tune Backdoor Insertion: Academic Research
A senior engineer's review of academic research on fine-tune backdoor insertion, from BadNets to sleeper agents, and how the findings translate to production ML.
Fine-Tune Drift Measured On Eval Sets
Fine-tuning to improve one task frequently regresses others. Without eval harnesses, the regressions ship. The measurable drift is larger than vendors admit.
Fine-Tune Backdoors: The Quiet Threat
Fine-tuning a model on an attacker-controlled dataset can implant behaviour that only activates under specific conditions. The threat is quiet because detection is hard.
Fine-Tuning Poisoning Detection for Supply Chains
Fine-tuning inherits every problem of the base model and adds dataset provenance as a new one. Here is how detection actually works in practice.
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