A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures

arXiv:2404.00673v1 Announce Type: cross
Abstract: As the adoption of explainable AI (XAI) continues to expand, the urgency to address its privacy implications intensifies. Despite a growing corpus of research in AI privacy and explainability, there is little attention on privacy-preserving model explanations. This article presents the first thorough survey about privacy attacks on model explanations and their countermeasures. Our contribution to this field comprises a thorough analysis of research papers with a connected taxonomy that facilitates the categorisation of privacy …

arxiv attacks cs.ai cs.cr cs.cy cs.lg privacy risks survey type