Casper Lauge Nørup Koch

Can We Explain What We Anonymize? On the Impact of Data Anonymization on Post-hoc Model Explanations

Privacy-preserving data publishing and explainable artificial intelligence (XAI) are both essential for trustworthy machine learning, yet their interaction remains largely underexplored. In practice, models are often trained on anonymized datasets, but little is known about how classical anonymization techniques affect...