About

I am currently a Machine Learning Researcher at the Huawei Munich Research Center.

Before that, I completed my PhD at the University of Oxford, funded by an Oxford-Deepmind scholarship. In my dissertation - titled Measuring the Security of Computer Vision Systems to Adversarial Attacks - 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 industrial partners, including Mastercard, the armasuisse Cyber-Defence Campus, and to intern at the Bosch Center for Artificial Intelligence Research, where I investigated properties of Transformer-based networks for vision tasks under the supervision of Jan Hendrik Metzen.

Recent Work

G. Lovisotto, N. Finnie, M. Munoz, C.K. Mummadi and J.H. Metzen
Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness
CVPR 2022
  paper

G. Lovisotto, H. Turner, I. Sluganovic, M. Strohmeier and I. Martinovic
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
Usenix Security 2021
  paper   code   talk

H. Turner, G. Lovisotto and I. Martinovic
Speaker Anonymization with Distribution-Preserving X-Vector Generation
2020 VoicePrivacy Challenge
  paper   code   Henry's talk

G. Lovisotto, S. Eberz and I. Martinovic
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating
2020 IEEE Euro S&P
  paper   code   talk

G. Lovisotto, H. Turner, S. Eberz and I. Martinovic
Seeing Red: PPG Biometrics Using Smartphone Cameras
2020 CVPR Workshops
  paper   code   talk

S. Eberz, G. Lovisotto, K. B. Rasmussen, V. Lenders and I. Martinovic
28 Blinks Later: Tackling Practical Challenges of Eye Movement Biometrics
2019 ACM CCS
  paper

S. Eberz, G. Lovisotto, A. Patane, M. Kwiatkowska, V. Lenders and I. Martinovic
When your fitness tracker betrays you: Quantifying the predictability of biometric features across contexts
2018 IEEE S&P
  paper



See my full list of publications on Scholar