Biografía

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.