Romijnders, Rob

11 publications

NeurIPS 2025 Convex Approximation of Two-Layer ReLU Networks for Hidden State Differential Privacy Rob Romijnders, Antti Koskela

ICLRW 2025 NoEsis: A Modular LLM with Differentially Private Knowledge Transfer Rob Romijnders, Stefanos Laskaridis, Ali Shahin Shamsabadi, Hamed Haddadi

ICLRW 2024 DNA: Differential Privacy Neural Augmentation for Contact Tracing Rob Romijnders, Christos Louizos, Yuki M Asano, Max Welling

AAAI 2024 Protect Your Score: Contact-Tracing with Differential Privacy Guarantees Rob Romijnders, Christos Louizos, Yuki M. Asano, Max Welling

AISTATS 2023 No Time to Waste: Practical Statistical Contact Tracing with Few Low-Bit Messages Rob Romijnders, Yuki M. Asano, Christos Louizos, Max Welling

ICMLW 2022 SI-Score: An Image Dataset for Fine-Grained Analysis of Robustness to Object Location, Rotation and Size Jessica Yung, Rob Romijnders, Alexander Kolesnikov, Lucas Beyer, Josip Djolonga, Neil Houlsby, Sylvain Gelly, Mario Lucic, Xiaohua Zhai

ICCV 2021 Impact of Aliasing on Generalization in Deep Convolutional Networks Cristina Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin

CVPR 2021 On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic

WACV 2021 Representation Learning from Videos In-the-Wild: An Object-Centric Approach Rob Romijnders, Aravindh Mahendran, Michael Tschannen, Josip Djolonga, Marvin Ritter, Neil Houlsby, Mario Lucic

NeurIPS 2021 Revisiting the Calibration of Modern Neural Networks Matthias Minderer, Josip Djolonga, Rob Romijnders, Frances Hubis, Xiaohua Zhai, Neil Houlsby, Dustin Tran, Mario Lucic

WACV 2019 A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman