Nikola Jovanović

PhD student

nikola.jovanovic@inf.ethz.ch
CAB H66
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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 since January 2022. I previously obtained my Computer Science MSc at ETH Zürich in 2021, and my Computer Science BSc at Faculty of Computing, Union University, Belgrade in 2019.

Publications

2024

Ward: Provable RAG Dataset Inference via LLM Watermarks
Nikola Jovanović, Robin Staab, Maximilian Baader, Martin Vechev
arXiv 2024

Paper
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
Philipp Guldimann, Alexander Spiridonov, Robin Staab, Nikola Jovanović, Mark Vero, Velko Vechev, Anna Gueorguieva, Mislav Balunović, Nikola Konstantinov, Pavol Bielik, Petar Tsankov, Martin Vechev
arXiv 2024

Website
Paper
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Discovering Clues of Spoofed LM Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev
arXiv 2024

Paper
Watermark Stealing in Large Language Models
Nikola Jovanović, Robin Staab, Martin Vechev
ICML 2024 R2-FM@ICLR24 Oral

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Paper
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From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev
IEEE S&P 2024

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Back to the Drawing Board for Fair Representation Learning
Angéline Pouget, Nikola Jovanović, Mark Vero, Robin Staab, Martin Vechev
arXiv 2024

Paper
Black-Box Detection of Language Model Watermarks
Thibaud Gloaguen, Nikola Jovanović, Robin Staab, Martin Vechev
arXiv 2024

Paper
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović, Martin Vechev
ICLR 2024

Paper

2023

FARE: Provably Fair Representation Learning with Practical Certificates
Nikola Jovanović, Mislav Balunović, Dimitar I. Dimitrov, Martin Vechev
ICML 2023

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2022

LAMP: Extracting Text from Gradients with Language Model Priors
Mislav Balunović*, Dimitar I. Dimitrov*, Nikola Jovanović, Martin Vechev
NeurIPS 2022 * Equal contribution

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Private and Reliable Neural Network Inference
Nikola Jovanović, Marc Fischer, Samuel Steffen, Martin Vechev
ACM CCS 2022

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On the Paradox of Certified Training
Nikola Jovanović*, Mislav Balunović*, Maximilian Baader, Martin Vechev
TMLR 2022 * Equal contribution

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Paper
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Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
Claudio Ferrari, Mark Niklas Müller, Nikola Jovanović, Martin Vechev
ICLR 2022

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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

Paper

2018

Towards Sparse Hierarchical Graph Classifiers
Cătălina Cangea*, Petar Veličković*, Nikola Jovanović, Thomas Kipf, Pietro Liò
Relational Representation Learning Workshop -- NeurIPS 2018 * Equal contribution

Paper