My main research lines have to do with security and privacy in distributed systems as federated learning algorithms under the adversarial lens of attackers that attempt to make the system misbehave or infer private information (e.g., see our NDSS 2023 paper for the methodology and benchmarks results on that topic). I am also interested in Trusted Execution Environments and lately on Data Provenance (e.g., see our PIMS SDK journal paper at IEEE with the PIMCITY consortium) through watermarking algorithms we developed as part of the H2020 PIMCity project.
Usenix Network and Distributed System Security Symposium. San Diego, California. February 2023
IEEE Internet Computing. 10.1109/MIC.2022.3157356. Volume 26 , IEEE. June 2022
12th IMDEA Networks Annual International Workshop. Madrid, Spain. June 2022
Publication: 2018 Fifth International Conference on Social Networks Analysis, Management and Security (SNAMS). IEEE, 2018, Valencia, Spain.
Publication: 2018 Proceedings of the Twelfth International AAAI Conference on Web and Social Media, North America, Standford, California.
Publication: 2017 Proceedings of the ASONAM IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, July 2017. Pages 1132–1135, Sydney, Australia.