# pii
7 artikelengetagd met “pii”
Aanvallen op privacy en gegevensbescherming
Overview of privacy attacks against AI systems including data extraction, membership inference, and model inversion, with regulatory implications and red team methodology.
Technieken voor PII-extractie
Techniques for extracting personally identifiable information from trained language models including prompt-based extraction, prefix attacks, targeted queries, and real-world examples.
Embedding-privacy
Wat embeddings onthullen over de brondata — over embedding-inversieaanvallen, membership inference, attribuutinferentie, privacybehoudende embeddingtechnieken en de implicaties voor regelgeving.
Simulatie: overheids-AI-portaal
Red team engagement simulation targeting a public-facing government benefits chatbot, covering reconnaissance, benefits fraud assistance, PII harvesting, bias exploitation, and remediation recommendations.
Toegangscontrole voor de feature store
Access control strategies for feature stores: feature-level permissions, cross-team data leakage prevention, PII protection in features, service account management, and implementing least-privilege access for ML feature infrastructure.
Pijplijn voor PII-redactie
Step-by-step walkthrough for building an automated PII detection and redaction pipeline for LLM outputs, covering regex-based detection, NER-based detection, presidio integration, redaction strategies, and compliance testing.
PII-detectie en -redactie voor LLM's
Build a PII detection and redaction system for LLM inputs and outputs to prevent data exposure.