Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning.

@inproceedings{papadopoulos-2024-absolute, author = {Georgios Papadopoulos and Yash Satsangi and Shaltiel Eloul and Marco Pistoia}, editor = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}, title = {{Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning}}, booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV}}, series = {Lecture Notes in Computer Science}, volume = {14611}, pages = {243--256}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-56066-8_20}, doi = {https://doi.org/10.1007/978-3-031-56066-8_20} }