Luka Rimanić

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Boxin Wang, Fan Wu, Yunhui Long et al. · 2021 · 44 citations · Full text

Artificial Intelligence, Privacy Protection, Engineering +20

A Data Quality-Driven View of MLOps

Cédric Renggli, Luka Rimanić, Nezihe Merve Gürel et al. · arXiv (Cornell University) · 2021 · 43 citations · Full text

Software Maintenance, Engineering, Machine Learning +22

TSS: Transformation-Specific Smoothing for Robustness Certification

Linyi Li, Maurice Weber, Xiaojun Xu et al. · 2021 · 21 citations

Artificial Intelligence, Engineering, Machine Learning +19

Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks

Nezihe Merve Gürel, Xiangyu Qi, Luka Rimanić et al. · arXiv (Cornell University) · 2021 · 20 citations · Full text

Which Model to Transfer? Finding the Needle in the Growing Haystack

Cédric Renggli, André Susano Pinto, Luka Rimanić et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2022 · 13 citations

Artificial Intelligence, Few-shot Learning, Engineering +25