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Conference Paper

UniTraX: Protecting Data Privacy with Discoverable Biases

MPS-Authors
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Munz,  Reinhard
Group P. Francis, Max Planck Institute for Software Systems, Max Planck Society;

Eigner,  Fabienne
Group D. Garg, Max Planck Institute for Software Systems, Max Planck Society;

Maffei,  Matteo
Group D. Garg, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons144528

Francis,  Paul
Group P. Francis, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons144522

Garg,  Deepak
Group D. Garg, Max Planck Institute for Software Systems, Max Planck Society;

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Citation

Munz, R., Eigner, F., Maffei, M., Francis, P., & Garg, D. (2018). UniTraX: Protecting Data Privacy with Discoverable Biases. In L. Bauer, & R. Küsters (Eds.), Principles of Security and Trust (pp. 278-299). Berlin: Springer. doi:10.1007/978-3-319-89722-6_12.


Cite as: https://hdl.handle.net/21.11116/0000-0003-37DF-5
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