# regression-testing
8 artikelengetagd met “regression-testing”
Kader voor veiligheidsevaluatie van fine-tuning
A comprehensive framework for evaluating the safety of fine-tuned models -- combining pre-deployment testing, safety regression benchmarks, and continuous monitoring to detect when fine-tuning has compromised model safety.
Veiligheidsregressietesten
Quantitative methods for measuring safety changes before and after fine-tuning -- benchmark selection, automated safety test suites, statistical methodology for safety regression, and building comprehensive before/after evaluation pipelines.
Lab: veiligheidsregressietesten op schaal
Build automated pipelines that detect safety degradation across model versions, ensuring that updates and fine-tuning do not introduce new vulnerabilities or weaken existing protections.
Lab: opzet voor regressietesten van verdedigingen
Build a regression testing framework to continuously verify that LLM defenses remain effective against known attack patterns.
Beveiligingsgates in ML-deployment
Implementing security checkpoints in ML deployment pipelines: automated safety testing, performance regression detection, bias evaluation, approval workflows, and designing gates that balance security with deployment velocity.
Continue AI-redteaming-pijplijnen opzetten
Walkthrough for building continuous AI red teaming pipelines that automatically test LLM applications on every deployment, covering automated scan configuration, CI/CD integration, alert thresholds, regression testing, and dashboard reporting.
Methodologie voor regressietesten van AI-beveiliging
Design regression testing suites that verify security fixes remain effective across model updates and deployments.
Methodologie voor regressietesten van AI-beveiliging (methodologie-walkthrough)
Methodology for continuous regression testing of AI application security after updates and model changes.