# defense-testing
6 artikelengetagd met “defense-testing”
De effectiviteit van verdedigingen evalueren
Metrics, benchmarks en methodologie om te meten hoe goed AI-verdedigingen werken tegen echte aanvallen, inclusief evaluatievalkuilen en best practices.
Lab: inleiding tot het testen van verdedigingen
Learn to systematically test LLM application defenses by probing input filters, output validators, and guardrails.
Lab: verdedigingen tegen prompt leaking testen
Test various prompt leaking defense configurations to evaluate their effectiveness against extraction techniques.
Lab: bouw een guardrail-evaluator
Build an automated framework for evaluating AI guardrails and safety filters. Test input filters, output classifiers, content moderation systems, and defense-in-depth architectures for coverage gaps and bypass vulnerabilities.
Lab: de effectiviteit van verdedigingen testen
Systematically test and measure the robustness of AI guardrails using structured methodology, metrics, and repeatable test suites.
Prompt injection-verdedigingen testen met Rebuff
Walkthrough for using Rebuff to test and evaluate prompt injection detection capabilities, covering installation, detection pipeline analysis, adversarial evasion testing, custom rule development, and benchmarking detection accuracy.