Berrada, Leonard

7 publications

TMLR 2025 Privacy Awareness for Information-Sharing Assistants: A Case-Study on Form-Filling with Contextual Integrity Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle

JMLR 2022 A Stochastic Bundle Method for Interpolation Alasdair Paren, Leonard Berrada, Rudra P. K. Poudel, M. Pawan Kumar

NeurIPS 2021 Make Sure You're Unsure: A Framework for Verifying Probabilistic Specifications Leonard Berrada, Sumanth Dathathri, Krishnamurthy Dvijotham, Robert Stanforth, Rudy R Bunel, Jonathan Uesato, Sven Gowal, M. Pawan Kumar

ICML 2020 Training Neural Networks for and by Interpolation Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

ICLR 2019 Deep Frank-Wolfe for Neural Network Optimization Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

ICLR 2018 Smooth Loss Functions for Deep Top-K Classification Leonard Berrada, Andrew Zisserman, M. Pawan Kumar

ICLR 2017 Trusting SVM for Piecewise Linear CNNs Leonard Berrada, Andrew Zisserman, M. Pawan Kumar