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Nikola Jovanovic

Affiliations:
  • ETH Zurich, Switzerland
  • Union University, Belgrade, Serbia (former)


According to our database1, Nikola Jovanovic authored at least 12 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Watermark Stealing in Large Language Models.
[BibTeX]
[DOI]
Nikola Jovanovic
,
Robin Staab
,
Martin T. Vechev
CoRR, 2024

2023
From Principle to Practice: Vertical Data Minimization for Machine Learning.
[BibTeX]
[DOI]
Robin Staab
,
Nikola Jovanovic
,
Mislav Balunovic
,
Martin T. Vechev
CoRR, 2023

Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning.
[BibTeX]
[DOI]
Kostadin Garov
,
Dimitar I. Dimitrov
,
Nikola Jovanovic
,
Martin T. Vechev
CoRR, 2023

FARE: Provably Fair Representation Learning with Practical Certificates.
[BibTeX]
[DOI]
Nikola Jovanovic
,
Mislav Balunovic
,
Dimitar Iliev Dimitrov
,
Martin T. Vechev
Proceedings of the International Conference on Machine Learning, 2023

2022
On the Paradox of Certified Training.
[BibTeX]
[DOI]
Nikola Jovanovic
,
Mislav Balunovic
,
Maximilian Baader
,
Martin T. Vechev
Trans. Mach. Learn. Res., 2022

FARE: Provably Fair Representation Learning.
[BibTeX]
[DOI]
Nikola Jovanovic
,
Mislav Balunovic
,
Dimitar I. Dimitrov
,
Martin T. Vechev
CoRR, 2022

LAMP: Extracting Text from Gradients with Language Model Priors.
[BibTeX]
[DOI]
Mislav Balunovic
,
Dimitar I. Dimitrov
,
Nikola Jovanovic
,
Martin T. Vechev
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound.
[BibTeX]
[DOI]
Claudio Ferrari
,
Mark Niklas Müller
,
Nikola Jovanovic
,
Martin T. Vechev
Proceedings of the Tenth International Conference on Learning Representations, 2022

Private and Reliable Neural Network Inference.
[BibTeX]
[DOI]
Nikola Jovanovic
,
Marc Fischer
,
Samuel Steffen
,
Martin T. Vechev
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
Towards Robust Graph Contrastive Learning.
[BibTeX]
[DOI]
Nikola Jovanovic
,
Zhao Meng
,
Lukas Faber
,
Roger Wattenhofer
CoRR, 2021

Certified Defenses: Why Tighter Relaxations May Hurt Training?
[BibTeX]
[DOI]
Nikola Jovanovic
,
Mislav Balunovic
,
Maximilian Baader
,
Martin T. Vechev
CoRR, 2021

2018
Towards Sparse Hierarchical Graph Classifiers.
[BibTeX]
[DOI]
Catalina Cangea
,
Petar Velickovic
,
Nikola Jovanovic
,
Thomas Kipf
,
Pietro Liò
CoRR, 2018


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