Sophie Noiret is a PhD student and research assistant at the Computer Vision Lab at TU Wien, currently working on the visuAAL Innovative Training Network. Shereceived her Master’s Degree in Engineering from the Ecole Centrale de Nantes (France) in 2018, with a specialty in Robotics and Embedded Systems. She has since worked in the aeronautics industry, developing software for the Rafale plane.
Her current work focuses on Algorithmic fairness in AI for active assisted living
- Sophie Noiret. 2021. Assessing Algorithmic Fairness without Sensitive Information. In Proceedings of the Conference on Information Technology for Social Good (GoodIT ’21). Association for Computing Machinery, New York, NY, USA, 325–328. DOI:https://doi.org/10.1145/3462203.3475894
- S. Noiret, J. Lumetzberger, M. Kampel. 2021. “Bias and Fairness in Computer Vision Applications of the Criminal Justice System”, 2021 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1-8, doi: 10.1109/SSCI50451.2021.9660177
- S. Noiret, S. Ravi, M. Kampel, F. Florez-Revuelta. 2022. “On The Nature of Misidentification With Privacy Preserving”, 15th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA ’22), June 29-July 1 2022, Corfu, Greece. ACM, New York, NY, USA, 3 pages. https://doi.org/10.1145/3529190.3534760
- S. Noiret, S. Ravi, M. Kampel, F. Florez-Revuelta. 2022. “Fairly Private: Investigating The Fairness of Visual Privacy Preservation Algorithms”, Accepted to the AAAI-23 Workshop on Privacy-Preserving Artificial Intelligence (PPAI-23)
“Fairness metrics for visual privacy preservation”, Extended Abstract, European Workshop on Algorithmic Fairness (EWAF’22), Zurich, Switzerland, 8-9 June 2022