Nikola Jovanovic

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 14

Top Topics

Top Venues

Publications

Angéline Pouget, Nikola Jovanovic, Mark Vero, Robin Staab, Martin T. Vechev
Back to the Drawing Board for Fair Representation Learning. CoRR (2024)
Thibaud Gloaguen, Nikola Jovanovic, Robin Staab, Martin T. Vechev
Black-Box Detection of Language Model Watermarks. CoRR (2024)
Nikola Jovanovic, Robin Staab, Martin T. Vechev
Watermark Stealing in Large Language Models. CoRR (2024)
Kostadin Garov, Dimitar Iliev Dimitrov, Nikola Jovanovic, Martin T. Vechev
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning. ICLR (2024)
Robin Staab, Nikola Jovanovic, Mislav Balunovic, Martin T. Vechev
From Principle to Practice: Vertical Data Minimization for Machine Learning. CoRR (2023)
Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanovic, Martin T. Vechev
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning. CoRR (2023)
Nikola Jovanovic, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin T. Vechev
FARE: Provably Fair Representation Learning with Practical Certificates. ICML (2023)
Mislav Balunovic, Dimitar I. Dimitrov, Nikola Jovanovic, Martin T. Vechev
LAMP: Extracting Text from Gradients with Language Model Priors. NeurIPS (2022)
Claudio Ferrari, Mark Niklas Müller, Nikola Jovanovic, Martin T. Vechev
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound. CoRR (2022)
Nikola Jovanovic, Mislav Balunovic, Maximilian Baader, Martin T. Vechev
On the Paradox of Certified Training. Trans. Mach. Learn. Res. 2022 (2022)
Nikola Jovanovic, Marc Fischer, Samuel Steffen, Martin T. Vechev
Private and Reliable Neural Network Inference. CoRR (2022)
Claudio Ferrari, Mark Niklas Müller, Nikola Jovanovic, Martin T. Vechev
Complete Verification via Multi-Neuron Relaxation Guided Branch-and-Bound. ICLR (2022)
Nikola Jovanovic, Marc Fischer, Samuel Steffen, Martin T. Vechev
Private and Reliable Neural Network Inference. CCS (2022)
Nikola Jovanovic, Mislav Balunovic, Dimitar I. Dimitrov, Martin T. Vechev
FARE: Provably Fair Representation Learning. CoRR (2022)