Hey there! I am currently holding a Starting Research Position (SRP) at Inria Center at Université Côte d'Azur - Marianne team.
I successfully earned my B.Sc. and M.Sc. in Computer Science from Sapienza University of Rome in 2017 and 2019, respectively. Furthermore, in April 2023, I proudly completed my Ph.D. studies, receiving degrees from both Institut Polytechnique de Paris (École Polytechnique) and Sapienza University of Rome.
My interests lie at the intersection between security in machine learning on the one hand, and machine learning applied to the medical field on the other.
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December 24, 2024 | I have been recognized as one of the top 25% excellent reviewers @ KDD 2025 – the ACM SIGKDD Conference on Knowledge Discovery and Data Mining. |
December 1, 2024 | After nearly five years in Paris, I am excited to announce that I will be embarking on a new adventure in Sophia Antipolis. I am thrilled to be joining the newly formed Marianne Team, led by DR. Serena Villata, as part of a Starting Research Position. I’m also looking forward to finally enjoying the beautiful weather again! |
November 16, 2024 | Our work on ECGrecover: a Deep Learning Approach for Electrocardiogram Signal Completion has been accepted @ KDD 2025 – the ACM SIGKDD Conference on Knowledge Discovery and Data Mining. |
October 10, 2024 | Our work on Adapting TabPFN for Zero-Inflated Metagenomic Data has been accepted at the Table Representation Learning (TRL) workshop @ NeurIPS 2024. |
September 26, 2024 | I will be giving a seminar on my research on safety and security in machine learning at Inria-Lille (Magnet team). |
July 02, 2024 | Mentions honorables: Prix De Thèse SSFAM. |
May 31, 2024 | I will be presenting a seminar on my research on Adversarial Examples at the SoSySec seminar at Inria-Rennes. |
May 02, 2024 | I will present our paper Optimal Zero-Shot Detector for Multi-Armed Attacks at the AISTATS conference. ¡Nos vemos en Valencia! |
January 31, 2024 | I will talk at the Séminaire COMCYBER/IA. Round table: «Fiabilité, confiance, éthique: quelle sécurité des IA?» |
January 20, 2024 | My thesis Towards Securing Machine Learning Algorithms through Misclassification Detection and Adversarial Attack Detection is finally online! |
January 19, 2024 | Our work on Optimal Zero-Shot Detector for Multi-Armed Attacks has been accepted @ AISTATS 2024 - International Conference on Artificial Intelligence and Statistics. |
November 16, 2023 | I will present our work on The Negative Impact of Denoising on Automated Classification of Electrocardiograms at the Réunion d'Unité UMMISCO 2023, Bondy, France. |
October 27, 2023 | Our work on The Negative Impact of Denoising on Automated Classification of Electrocardiograms has been accepted at the DGM4H workshop @ NeurIPS 2023. |
April 21, 2023 | I successfully defended my PhD thesis titled Towards Securing Machine Learning Algorithms through Misclassification Detection and Adversarial Attack Detection at Inria Saclay. |
April 01, 2023 | New job position: Postdoctoral Fellow at IRD (UMMISCO) - Sorbonne University, Paris, France. |
February 28, 2023 | I completed my Research Internship, initiated in October 2022 at École de technologie supérieure (ÉTS) in Montreal, Quebec, focusing on the Detection of Errors in image segmentation tasks. |
Deep Neural Networks (DNNs) have seen significant advances in recent years and are nowadays widely used in a variety of applications. When it comes to safety-critical systems, developing methods and tools to make these algorithms reliable, particularly for non-specialists who may treat them as “black boxes” with no further checks, constitutes a core challenge. The purpose of the research is to investigate various methods that can enable the safe use of these technologies. In particular under the lens of:
I am particuarly focusing on: