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Nikola Jovanović
Nikola Jovanović
PhD Student @ ETH Zürich SRI Lab
Verified email at inf.ethz.ch - Homepage
Title
Cited by
Cited by
Year
Towards Sparse Hierarchical Graph Classifiers
C Cangea, P Veličković, N Jovanović, T Kipf, P Liò
Relational Representation Learning Workshop (R2L @ NeurIPS 2018), 2018
321*2018
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound
C Ferrari, MN Müller, N Jovanović, M Vechev
International Conference on Learning Representations (ICLR 2022), 2022
1202022
LAMP: Extracting Text from Gradients with Language Model Priors
DI Dimitrov, M Balunović, N Jovanović, M Vechev
Conference on Neural Information Processing Systems (NeurIPS 2022), 2022
65*2022
Towards Robust Graph Contrastive Learning
N Jovanović, Z Meng, L Faber, R Wattenhofer
The Workshop on Self-Supervised Learning for the Web (SSL @ WWW 2021), 2021
452021
On the Paradox of Certified Training
N Jovanović, M Balunović, M Baader, M Vechev
Transactions on Machine Learning Research (TMLR 10/2022), 2022
33*2022
Watermark Stealing in Large Language Models
N Jovanović, R Staab, M Vechev
International Conference on Machine Learning (ICML 2024), 2024
272024
Private and Reliable Neural Network Inference
N Jovanović, M Fischer, S Steffen, M Vechev
ACM Conference on Computer and Communications Security (CCS 2022), 2022
152022
FARE: Provably Fair Representation Learning with Practical Certificates
N Jovanović, M Balunović, DI Dimitrov, M Vechev
International Conference on Machine Learning (ICML 2023), 2023
9*2023
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
K Garov, DI Dimitrov, N Jovanović, M Vechev
International Conference on Learning Representations (ICLR 2024), 2024
52024
Black-Box Detection of Language Model Watermarks
T Gloaguen, N Jovanović, R Staab, M Vechev
NextGenAISafety & FM-Wild Workshops @ ICML 2024, 2024
22024
From Principle to Practice: Vertical Data Minimization for Machine Learning
R Staab, N Jovanović, M Balunović, M Vechev
IEEE Symposium on Security and Privacy (S&P 2024), 2024
22024
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
P Guldimann, A Spiridonov, R Staab, N Jovanović, M Vero, V Vechev, ...
arXiv preprint arXiv:2410.07959, 2024
12024
Ward: Provable RAG Dataset Inference via LLM Watermarks
N Jovanović, R Staab, M Baader, M Vechev
arXiv preprint arXiv:2410.03537, 2024
12024
Discovering Clues of Spoofed LM Watermarks
T Gloaguen, N Jovanović, R Staab, M Vechev
arXiv preprint arXiv:2410.02693, 2024
2024
Back to the Drawing Board for Fair Representation Learning
A Pouget, N Jovanović, M Vero, R Staab, M Vechev
arXiv preprint arXiv:2405.18161, 2024
2024
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