As a current PhD student at Criteo AI Lab and the Institut Polytechnique de Paris (specifically Télécom), I am set to complete my studies in July 2023. My primary focus is on Robustness in Machine Learning, with a specific emphasis on adversarial examples in Deep Learning and the development of robust procedures for Ranking data.
Through my research, I have developed a keen interest in gaining a deeper understanding of how deep learning algorithms operate. This encompasses various areas, including the generalization ability of neural networks, transfer learning, knowledge distillation, regularization procedures like pruning, and more.
While my studies have primarily revolved around Computer Vision applications, I have also embarked on a project involving highly structured data. As a result, I am equally intrigued by image-to-text or text-to-image related topics. In fact, I am eager to delve further into Natural Language Processing (NLP) and explore its diverse possibilities.
PhD Thesis - Statistical Understanding of Adversarial Robustness
I have successfully defended my PhD thesis on the 30th of November 2023!
(Paper) AISTATS 2023 - Origins of Low-Dimensional Adversarial Perturbations
I am thrilled to announced that my paper called Origins of Low-Dimensional Adversarial Perturbations with Elvis Dohmatob and Chuan Guo from Meta AI Research has been accepted and will be published at AISTATS 2023! It has been selected to be one of the 32 papers to have an “oral” presentation :) Go check it for more details.
(Insights) Focus on Cross-entropy loss and KL divergence
Deep learning model massively use the classical Cross-Entropy loss for training. Let’s look at this loss in more details
(Paper) MLSS and DLRL 2020 Poster Video
As part of the MLSS and DLRL 2020 virtual organization, I recorded a “poster video” about a paper we - with Thomas Ricatte and Elvis Dohmatob from Criteo AI Lab - recently submitted to NeurIPS 2020.
(Researcher's Corner) Work Organization for PhD Student
Like many other PhD student before, I have been facing some challenging issues regarding organization of my work since the beginning of my PhD. I have asked advice from collegues or other PhD students, and researched on the internet any tip that could be useful.
(Researcher's Corner) ArXiv Alert
ArXiv is an incredible tool to get access to research papers, but it has one drawback for me: there are too much papers in it! I want to filter new ArXiv based on my research interests, so here is how I created an ArXiv Alert.
(Insights) Of Rabbits and Foxes
A quick overview of the Lotka-Volterra model.