Guillaume Leclerc

21 papers A* 7A 2Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	—	`—`	Robust Computer Vision beyond Lₚ Adversaries Guillaume Leclerc
2023	A*	`conf`	FFCV: Accelerating Training by Removing Data Bottlenecks. CVPR Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry
2023	J	`jnl`	FFCV: Accelerating Training by Removing Data Bottlenecks. CoRR Guillaume Leclerc, Andrew Ilyas, Logan Engstrom, Sung Min Park, Hadi Salman, Aleksander Madry
2023	A*	`conf`	Raising the Cost of Malicious AI-Powered Image Editing. ICML Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
2023	J	`jnl`	Raising the Cost of Malicious AI-Powered Image Editing. CoRR Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry
2023	A*	`conf`	Rethinking Backdoor Attacks. ICML Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
2023	J	`jnl`	Rethinking Backdoor Attacks. CoRR Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry
2023	A*	`conf`	TRAK: Attributing Model Behavior at Scale. ICML Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry
2023	J	`jnl`	TRAK: Attributing Model Behavior at Scale. CoRR Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry
2022	A*	`conf`	3DB: A Framework for Debugging Computer Vision Models. NeurIPS 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
2022	A*	`conf`	Adversarially trained neural representations are already as robust as biological neural representations. ICML Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo
2022	J	`jnl`	Adversarially trained neural representations may already be as robust as corresponding biological neural representations. CoRR Chong Guo, Michael J. Lee, Guillaume Leclerc, Joel Dapello, Yug Rao, Aleksander Madry, James J. DiCarlo
2022	J	`jnl`	Datamodels: Predicting Predictions from Training Data. CoRR Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry
2022	A*	`conf`	Datamodels: Understanding Predictions with Data and Data with Predictions. ICML Andrew Ilyas, Sung Min Park, Logan Engstrom, Guillaume Leclerc, Aleksander Madry
2021	J	`jnl`	3DB: A Framework for Debugging Computer Vision Models. CoRR 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
2020	—	`conf`	Bayesian Skip Net: Building on Prior Information for the Prediction and Segmentation of Stroke Lesions. BrainLes@MICCAI (1) Julian Klug, Guillaume Leclerc, Elisabeth Dirren, Maria Giulia Preti, Dimitri Van De Ville, Emmanuel Carrera
2020	J	`jnl`	Revisiting Ensembles in an Adversarial Context: Improving Natural Accuracy. CoRR Aditya Saligrama, Guillaume Leclerc
2020	J	`jnl`	The Two Regimes of Deep Network Training. CoRR Guillaume Leclerc, Aleksander Madry
2019	A	`conf`	SageDB: A Learned Database System. CIDR Tim Kraska, Mohammad Alizadeh, Alex Beutel, Ed H. Chi, Ani Kristo, Guillaume Leclerc, Samuel Madden, Hongzi Mao, Vikram Nathan
2018	J	`jnl`	Smallify: Learning Network Size while Training. CoRR Guillaume Leclerc, Manasi Vartak, Raul Castro Fernandez, Tim Kraska, Samuel Madden
2016	A	`conf`	The Seamless Peer and Cloud Evolution Framework. GECCO Guillaume Leclerc, Joshua Evan Auerbach, Giovanni Iacca, Dario Floreano