Louis Béziaud

he/him, il/lui — /lwi be.zjo/

About

I hold a PhD in computer science from both UQÀM (Canada) and University of Rennes (France), supervised by Sébastien Gambs and Tristan Allard. My research interests cover various aspects of privacy, fairness and related societal issues. I have a focus on ethical issues of using artificial intelligence for high-stakes decision-making.

I have a MSc in CS from ENS Rennes. In 2018, I did an internship at Inria Grenoble, supervised by Claude Castelluccia and Daniel Le Métayer, working on privacy risk analysis of national identity schemes. I did an internship at IT University of Copenhagen with Philippe Bonnet researching edge computing storage. I did two internships at IRISA in 2016 and 2017 studying privacy-preserving crowdsourcing with Tristan Allard and David Gross-Amblard.

Contact

I'm currently taking a post-PhD break (defended Dec. 6, 2023) but feel free to contact me :-)

Reach me at louis dot beziaud at irisa dot fr

Publications

See also arXiv, dblp, Google Scholar, HAL, ORCID, Semantic Scholar, Zenodo (with some of my slides and internship reports)

Journal articles

• Tristan Allard, Louis Béziaud, and Sébastien Gambs. “[~Re]Simulating socioeconomic-based affirmative action”. ReScience C 9.1 (2023)

Conference and workshop papers

• Tristan Allard, Louis Béziaud, and Sébastien Gambs. “SNAKE challenge: sanitization algorithms under attack”. Conference on Information and Knowledge Management. ACM, 2023
• Tristan Allard, Louis Béziaud, and Sébastien Gambs. “Publication of court records: circumventing the privacy-transparency trade-off”. International Workshop on AI Approaches to the Complexity of Legal Systems. Springer, 2021 (HAL)
• Tristan Allard, Louis Béziaud, and Sébastien Gambs. “Online publication of court records: circumventing the privacy-transparency trade-off”. ICML workshop on Law & Machine Learning. ArXiv, 2020 (arXiv)
• Louis Béziaud, Tristan Allard, and David Gross-Amblard. “Lightweight privacy-preserving task assignment in skill-aware crowdsourcing”. Database and Expert Systems Applications. Springer, 2017 (HAL)

Book sections

• Tristan Allard, Louis Béziaud, Sébastien Gambs, and Julien Lolive. “Ouvrir la boîte noire des algorithmes de personnalisation”. Le Profilage en ligne: entre libéralisme et régulation. Mare & Martin. 2020

Thesis

• “Privacy and fairness issues with algorithmic decision systems”. PhD thesis. Univ Rennes & UQAM. 2023 (HAL)

Dissemination

• Tristan Allard, Sébastien Gambs, and Louis Béziaud. “La Confidentialité différentielle, garante de l'anonymat”. Hors-série Pour la science 112 (2021)

Talks

Invited conferences

• “Publication of court records: circumventing the privacy-transparency trade-off”. 1st webinar on the use of AI in the justice field: Anonymisation and pseudonymisation of judicial decisions. European Commission, 2021

Invited lectures

• “Use-cases of differential privacy”. ENSAI, 2021
• “Privacy-preserving publication of legal decisions”. ENSAI, 2021

Dissemination

• “IA, les dessous de la machine”. Le Dorothy, 2023
• La recherche montre en main. “Intelligence artificielle : par-delà le bien et le mal ?”, La Méthode scientifique. France Culture, 2022

Teaching

• Sécurité des bases de données, M1 MIAGE, Rennes 1. 2019/20
• Privacy, M1 Cyber, CyberSchool Rennes. 2019/20, 2020/21, 2022/23
• DIU “Enseigner l'informatique au lycée”. 2020/21
• Sécurité des systèmes et données, ESIR3. 2020/21, 2021/22
• Bases de données, M1 IL, Rennes 1. 2020/21, 2021/22, 2023/24

Projects

I participate(d) in ANR JCJC Crowdguard, FRQ AUDACE Legalia, CominLabs PROFILE, Inria associate team DATA, Contributions Program of the OPC of Canada, NSERC CREATE RAI, PEPR IPoP.

I organized the 1st edition of the SNAKE Challenge (co-located with APVP'23).

Duties

Member of Inria RBA/IRISA gender equality working group. 2020–2023

Organization of IRISA DKM department's seminars. 2020–2023

Reviewer for KDD 2019, 2021; revue Terminal 2021; SEC@SAC 2021; VLDBJ 2021; Canadian AI 2022; EJDP 2022