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Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks.

, , , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 501-516. Springer, (2020)

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Prediction and Explanation of Privacy Risk on Mobility Data with Neural Networks., , , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 501-516. Springer, (2020)Privacy Risk of Global Explainers., , and . HHAI, volume 354 of Frontiers in Artificial Intelligence and Applications, page 249-251. IOS Press, (2022)A new approach for cross-silo federated learning and its privacy risks., , and . PST, page 1-10. IEEE, (2021)Stable and actionable explanations of black-box models through factual and counterfactual rules., , , , , , and . Data Min. Knowl. Discov., 38 (5): 2825-2862 (September 2024)Imagining the AI Landscape after the AI Act (Preface)., , and . HHAI Workshops, volume 3456 of CEUR Workshop Proceedings, page 1-6. CEUR-WS.org, (2023)Agnostic Label-Only Membership Inference Attack., , and . NSS, volume 13983 of Lecture Notes in Computer Science, page 249-264. Springer, (2023)GLOR-FLEX: Local to Global Rule-Based EXplanations for Federated Learning., , , , and . FUZZ, page 1-9. IEEE, (2024)Predicting and Explaining Privacy Risk Exposure in Mobility Data., , , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 403-418. Springer, (2020)Privacy Risk Assessment of Individual Psychometric Profiles., , and . DS, volume 12986 of Lecture Notes in Computer Science, page 411-421. Springer, (2021)Benchmark Analysis of Black Box Local Explanation Methods., , , and . XAI.it@AI*IA, volume 3277 of CEUR Workshop Proceedings, page 73-87. CEUR-WS.org, (2022)