| Bayesian framework for gradient leakage M Balunović, DI Dimitrov, R Staab, M Vechev The Tenth International Conference on Learning Representations, ICLR 2022, 2021 | 47 | 2021 |
| Lamp: Extracting text from gradients with language model priors M Balunovic, D Dimitrov, N Jovanović, M Vechev Advances in Neural Information Processing Systems 35, 7641-7654, 2022 | 44* | 2022 |
| Fast and precise certification of transformers G Bonaert, DI Dimitrov, M Baader, M Vechev Proceedings of the 42nd ACM SIGPLAN international conference on programming …, 2021 | 35 | 2021 |
| Data leakage in federated averaging DI Dimitrov, M Balunovic, N Konstantinov, M Vechev Transactions on Machine Learning Research, 2022 | 20 | 2022 |
| TabLeak: Tabular data leakage in federated learning M Vero, M Balunović, DI Dimitrov, M Vechev Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 11* | 2023 |
| Provably robust adversarial examples DI Dimitrov, G Singh, T Gehr, M Vechev The Tenth International Conference on Learning Representations, ICLR 2022, 2020 | 11 | 2020 |
| Shared certificates for neural network verification M Fischer, C Sprecher, DI Dimitrov, G Singh, M Vechev International Conference on Computer Aided Verification, 127-148, 2022 | 10 | 2022 |
| Fare: Provably fair representation learning with practical certificates N Jovanović, M Balunovic, DI Dimitrov, M Vechev International Conference on Machine Learning, 15401-15420, 2023 | 8* | 2023 |
| Group and attack: Auditing differential privacy J Lokna, A Paradis, DI Dimitrov, M Vechev Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 6 | 2023 |
| Spear: Exact gradient inversion of batches in federated learning DI Dimitrov, M Baader, MN Müller, M Vechev arXiv preprint arXiv:2403.03945, 2024 | 2 | 2024 |
| Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning K Garov, DI Dimitrov, N Jovanović, M Vechev The Twelfth International Conference on Learning Representations, ICLR 2024, 2024 | 1 | 2024 |
| DAGER: Exact Gradient Inversion for Large Language Models I Petrov, DI Dimitrov, M Baader, MN Müller, M Vechev arXiv preprint arXiv:2405.15586, 2024 | | 2024 |
| Image Inpainting with Gaussian Processes DI Dimitrov | | |
Martin VechevFull Professor of Computer Science, ETH Zurich; Scientific Director, INSAIT;Verified email at inf.ethz.ch
