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Hi there šŸ‘‹

I am a Machine Learning Researcher at the Huawei Munich Research Center, where I'm šŸ”­ currently working on representation learning on temporal graphs.

Before that, I completed my šŸ‘Øā€šŸŽ“ PhD at the University of Oxford, funded by an Oxford-Deepmind scholarship. In my dissertation, I studied adversarial examples for deep neural networks and how to evaluate the security of systems based on sensors-perception, with the goal of finding sounder ways to evaluate and improve machine learning robustness.

During my PhD, I was lucky enough to collaborate with šŸ­ industrial partners, including Mastercard, the armasuisse Cyber-Defence Campus, and to spend some time at the Bosch Center for Artificial Intelligence Research, where I investigated the robustness of Transformers for vision tasks, under the supervision of Jan Hendrik Metzen.

You can find a list of my publications on šŸŽ“Google Scholar.

  • šŸŒ± Iā€™m currently learning about LLMs (who isn't)
  • šŸ“« How to reach me: twitter

Giulio Lovisotto's Projects

detectron2 icon detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

memoc icon memoc

stuff for memoc course at unipd

opencv icon opencv

Open Source Computer Vision Library

robust-models-transfer icon robust-models-transfer

Official repository for our NeurIPS 2020 *oral* "Do Adversarially Robust ImageNet Models Transfer Better?"

robustness icon robustness

A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

saliency icon saliency

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

yolov3_tensorflow icon yolov3_tensorflow

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

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