| Towards poisoning of deep learning algorithms with back-gradient optimization L Muñoz-González, B Biggio, A Demontis, A Paudice, V Wongrassamee, ... Proceedings of the 10th ACM workshop on artificial intelligence and security …, 2017 | 857 | 2017 |
| Label sanitization against label flipping poisoning attacks A Paudice, L Muñoz-González, EC Lupu Joint European conference on machine learning and knowledge discovery in …, 2018 | 263 | 2018 |
| Detection of adversarial training examples in poisoning attacks through anomaly detection A Paudice, L Muñoz-González, A Gyorgy, EC Lupu arXiv preprint arXiv:1802.03041, 2018 | 220 | 2018 |
| Efficient attack graph analysis through approximate inference L Munoz-Gonzalez, D Sgandurra, A Paudice, EC Lupu ACM Transactions on Privacy and Security (TOPS) 20 (3), 10 20 (3), 10, 2017 | 85 | 2017 |
| Automated root cause identification of security alerts: Evaluation in a SaaS Cloud D Cotroneo, A Paudice, A Pecchia Future Generation Computer Systems 56, 375-387, 2016 | 42 | 2016 |
| An experiment with conceptual clustering for the analysis of security alerts A Paudice, S Sarkar, D Cotroneo 2014 IEEE International Symposium on Software Reliability Engineering …, 2014 | 35 | 2014 |
| Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries AP M Bressan, N Cesa-Bianchi, S Lattanzi Conference on Learning Theory, 2021 | 26 | 2021 |
| Correlation Clustering with Adaptive Similarity Queries M Bressan, N Cesa-Bianchi, A Paudice, F Vitale Conference on Neural Information Processing Systems, 2019 | 25 | 2019 |
| Exact Recovery of Mangled Clusters with Same-Cluster Queries M Bressan, N Cesa-Bianchi, S Lattanzi, A Paudice Conference on Neural Information Processing Systems, 2020 | 20 | 2020 |
| Empirical analysis and validation of security alerts filtering techniques D Cotroneo, A Paudice, A Pecchia IEEE Transactions on Dependable and Secure Computing 16 (5), 856-870, 2017 | 19 | 2017 |
| Robust Unsupervised Learning via L-Statistic Minimization A Maurer, DA Parletta, A Paudice, M Pontil International Conference on Machine Learning, 2021 | 16 | 2021 |
| Determining resilience gains from anomaly detection for event integrity in wireless sensor networks VP Illiano, A Paudice, L Muñoz-González, EC Lupu ACM Transactions on Sensor Networks (TOSN) 14 (1), 1-35, 2018 | 15 | 2018 |
| High probability bounds for stochastic subgradient schemes with heavy tailed noise DA Parletta, A Paudice, M Pontil, S Salzo SIAM Journal on Mathematics of Data Science 6 (4), 953-977, 2024 | 14 | 2024 |
| Multitask Online Mirror Descent N Cesa-Bianchi, P Laforgue, A Paudice, M Pontil TMLR, 2022 | 9 | 2022 |
| General tail bounds for non-smooth stochastic mirror descent K Eldowa, A Paudice International Conference on Artificial Intelligence and Statistics, 3205-3213, 2024 | 8 | 2024 |
| On margin-based cluster recovery with oracle queries M Bressan, N Cesa-Bianchi, S Lattanzi, A Paudice Advances in Neural Information Processing Systems, 2021 | 8 | 2021 |
| An improved uniform convergence bound with fat-shattering dimension R Colomboni, E Esposito, A Paudice Information Processing Letters 188, 106539, 2025 | 7 | 2025 |
| Active learning of classifiers with label and seed queries M Bressan, N Cesa-Bianchi, S Lattanzi, A Paudice, M Thiessen Advances in Neural Information Processing Systems 35, 30911-30922, 2022 | 4 | 2022 |
| Regret analysis of dyadic search F Bachoc, T Cesari, R Colomboni, A Paudice arXiv preprint arXiv:2209.00885, 2022 | 4 | 2022 |
| A Theoretical Framework for Zeroth-Order Budget Convex Optimization F Bachoc, T Cesari, R Colomboni, A Paudice Transactions on Machine Learning Research, 2024 | 3* | 2024 |
Emil LupuProfessor of Computer SystemsVerified email at imperial.ac.uk
