About me
I am Nikola Jovanović, a PhD student at the Department of Computer Science, ETH Zürich. I am part of the Secure, Reliable, and Intelligent Systems Lab, supervised by Martin Vechev, since January 2022.
Education
- ETH Zürich, 2019–2021 M.Sc. in Computer Science
- Faculty of Computing, Union University, Belgrade, 2015–2019 B.Sc. in Computer Science
Publications
2024
Watermark Stealing in Large Language Models
Nikola Jovanović, Robin Staab, Martin Vechev
ICML
2024
R2-FM@ICLR24 Oral
![CC BY 4.0 by @fontawesome - https://fontawesome.com](/assets/images/award.png)
From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev
IEEE S&P
2024
Back to the Drawing Board for Fair Representation Learning
Angéline Pouget, Nikola Jovanović, Mark Vero, Robin Staab, Martin Vechev
arXiv
2024
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev
arXiv
2024
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
ICLR
2024
2023
FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović, Mislav Balunović, Dimitar I. Dimitrov, Martin Vechev
ICML
2023
2022
LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunović*, Dimitar I. Dimitrov*, Nikola Jovanović, Martin Vechev
NeurIPS
2022
* Equal contribution
Private and Reliable Neural Network Inference
Nikola Jovanović, Marc Fischer, Samuel Steffen, Martin Vechev
ACM CCS
2022
On the Paradox of Certified Training
Nikola Jovanović*, Mislav Balunović*, Maximilian Baader, Martin Vechev
TMLR
2022
* Equal contribution
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
Claudio Ferrari, Mark Niklas Müller, Nikola Jovanović, Martin Vechev
ICLR
2022
2021
Towards Robust Graph Contrastive Learning
Nikola Jovanović, Zhao Meng, Lukas Faber, Roger Wattenhofer
The Workshop on Self-Supervised Learning for the Web -- WWW
2021
2018
Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea*, Petar Veličković*, Nikola Jovanović, Thomas Kipf, Pietro Liò
Relational Representation Learning Workshop -- NeurIPS
2018
* Equal contribution
Work Experience
- Snap Inc, Jul–Sep 2019 Software Engineering Intern at Camera Platform, Los Angeles
- Improbable, Jul–Oct 2018 Software Engineering Intern at Core Platform, London
- Google, Jul–Oct 2017 Software Engineering Intern at Research & Machine Intelligence, Mountain View
- Google, Jul–Sep 2016 Software Engineering Intern at Knowledge Engine, Zürich
Awards
- ACM ICPC World Finals, 2020 Honors, team ETH Zürich
- ACM ICPC Southwestern Europe Regionals (SWERC), 2019 Silver Medal, team ETH Zürich
- International Olympiad in Informatics (IOI), 2015 Bronze Medal
- Balkan Olympiad in Informatics (BOI), 2015 Bronze Medal
- Microsoft Bubble Cup, 2014 Silver Medal