The Seamless Peer and Cloud Evolution Framework. - Guillaume Leclerc; Joshua Evan Auerbach; Giovanni Iacca; Dario Floreano (GECCO, 2016)

Smallify: Learning Network Size while Training. - Guillaume Leclerc; Manasi Vartak; Raul Castro Fernandez; Tim Kraska; Samuel Madden 001 (CoRR, 2018)

SageDB: A Learned Database System. - Tim Kraska; Mohammad Alizadeh; Alex Beutel; Ed H. Chi; Ani Kristo; Guillaume Leclerc; Samuel Madden 001; Hongzi Mao; Vikram Nathan (CIDR, 2019)

Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. - Julian Klug; Guillaume Leclerc; Elisabeth Dirren; Maria Giulia Preti; Dimitri Van De Ville; Emmanuel Carrera (BrainLes@MICCAI (1), 2020)

The Two Regimes of Deep Network Training. - Guillaume Leclerc; Aleksander Madry (CoRR, 2020)

Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy. - Aditya Saligrama; Guillaume Leclerc (CoRR, 2020)

Adversarially trained neural representations are already as robust as biological neural representations. - Chong Guo; Michael J. Lee; Guillaume Leclerc; Joel Dapello; Yug Rao; Aleksander Madry; James J. DiCarlo (ICML, 2022)

Datamodels: Understanding Predictions with Data and Data with Predictions. - Andrew Ilyas; Sung Min Park; Logan Engstrom; Guillaume Leclerc; Aleksander Madry (ICML, 2022)

3DB: A Framework for Debugging Computer Vision Models. - Guillaume Leclerc; Hadi Salman; Andrew Ilyas; Sai Vemprala; Logan Engstrom; Vibhav Vineet; Kai Yuanqing Xiao; Pengchuan Zhang; Shibani Santurkar; Greg Yang; Ashish Kapoor; Aleksander Madry (NeurIPS, 2022)

Datamodels: Predicting Predictions from Training Data. - Andrew Ilyas; Sung Min Park; Logan Engstrom; Guillaume Leclerc; Aleksander Madry (CoRR, 2022)

Adversarially trained neural representations may already be as robust as corresponding biological neural representations. - Chong Guo; Michael J. Lee; Guillaume Leclerc; Joel Dapello; Yug Rao; Aleksander Madry; James J. DiCarlo (CoRR, 2022)

FFCV: Accelerating Training by Removing Data Bottlenecks. - Guillaume Leclerc; Andrew Ilyas; Logan Engstrom; Sung Min Park; Hadi Salman; Aleksander Madry (CVPR, 2023)

Rethinking Backdoor Attacks. - Alaa Khaddaj; Guillaume Leclerc; Aleksandar Makelov; Kristian Georgiev; Hadi Salman; Andrew Ilyas; Aleksander Madry (ICML, 2023)

TRAK: Attributing Model Behavior at Scale. - Sung Min Park; Kristian Georgiev; Andrew Ilyas; Guillaume Leclerc; Aleksander Madry (ICML, 2023)

Raising the Cost of Malicious AI-Powered Image Editing. - Hadi Salman; Alaa Khaddaj; Guillaume Leclerc; Andrew Ilyas; Aleksander Madry (ICML, 2023)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)

Robust Computer Vision beyond Lₚ Adversaries - Guillaume Leclerc (2024)

gpt-oss-120b & gpt-oss-20b Model Card. - Sandhini Agarwal; Lama Ahmad; Jason Ai; Sam Altman; Andy Applebaum; Edwin Arbus; Rahul K. Arora; Yu Bai; Bowen Baker; Haiming Bao; Boaz Barak; Ally Bennett; et al. (CoRR, 2025)