Bayesian framework for gradient leakage M Balunović, DI Dimitrov, R Staab, M Vechev arXiv preprint arXiv:2111.04706, 2021 | 44 | 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 | 33* | 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 | 30 | 2021 |
Data leakage in federated averaging DI Dimitrov, M Balunovic, N Konstantinov, M Vechev Transactions on Machine Learning Research, 2022 | 14 | 2022 |
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 | 9* | 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 | 8 | 2023 |
Provably robust adversarial examples DI Dimitrov, G Singh, T Gehr, M Vechev arXiv preprint arXiv:2007.12133, 2020 | 8 | 2020 |
Fare: Provably fair representation learning with practical certificates N Jovanović, M Balunovic, DI Dimitrov, M Vechev International Conference on Machine Learning, 15401-15420, 2023 | 6* | 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 | 1 | 2023 |
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, 2024 | | 2024 |
SPEAR: Exact Gradient Inversion of Batches in Federated Learning DI Dimitrov, M Baader, MN Müller, M Vechev arXiv preprint arXiv:2403.03945, 2024 | | 2024 |
Image Inpainting with Gaussian Processes DI Dimitrov | | |