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2020 – today
- 2025
[j8]Roberto Colomboni, Emmanuel Esposito, Andrea Paudice
:
An improved uniform convergence bound with fat-shattering dimension. Inf. Process. Lett. 188: 106539 (2025)- 2024
- [j7]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Margin-Based Active Learning of Classifiers. J. Mach. Learn. Res. 25: 127:1-127:45 (2024) - [j6]Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil, Saverio Salzo:
High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise]. SIAM J. Math. Data Sci. 6(4): 953-977 (2024) - [c10]Khaled Eldowa, Andrea Paudice:
General Tail Bounds for Non-Smooth Stochastic Mirror Descent. AISTATS 2024: 3205-3213 - 2023
- [i15]Roberto Colomboni, Emmanuel Esposito, Andrea Paudice:
An Improved Uniform Convergence Bound with Fat-Shattering Dimension. CoRR abs/2307.06644 (2023) - [i14]Khaled Eldowa, Andrea Paudice:
General Tail Bounds for Non-Smooth Stochastic Mirror Descent. CoRR abs/2312.07142 (2023) - 2022
- [j5]Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil:
Multitask Online Mirror Descent. Trans. Mach. Learn. Res. 2022 (2022) - [c9]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen:
Active Learning of Classifiers with Label and Seed Queries. NeurIPS 2022 - [i13]François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice:
A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization. CoRR abs/2208.06720 (2022) - [i12]François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice:
Regret Analysis of Dyadic Search. CoRR abs/2209.00885 (2022) - [i11]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen:
Active Learning of Classifiers with Label and Seed Queries. CoRR abs/2209.03996 (2022) - 2021
- [c8]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. COLT 2021: 775-803 - [c7]Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil:
Robust Unsupervised Learning via L-statistic Minimization. ICML 2021: 7524-7533 - [c6]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
On Margin-Based Cluster Recovery with Oracle Queries. NeurIPS 2021: 25231-25243 - [i10]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. CoRR abs/2102.00504 (2021) - [i9]Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil:
Multitask Online Mirror Descent. CoRR abs/2106.02393 (2021) - [i8]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
On Margin-Based Cluster Recovery with Oracle Queries. CoRR abs/2106.04913 (2021) - 2020
- [c5]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Mangled Clusters with Same-Cluster Queries. NeurIPS 2020 - [i7]Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice:
Exact Recovery of Mangled Clusters with Same-Cluster Queries. CoRR abs/2006.04675 (2020) - [i6]Andreas Maurer, Daniela A. Parletta, Andrea Paudice, Massimiliano Pontil:
A Perturbation Resilient Framework for Unsupervised Learning. CoRR abs/2012.07399 (2020)
2010 – 2019
- 2019
- [j4]Domenico Cotroneo, Andrea Paudice, Antonio Pecchia:
Empirical Analysis and Validation of Security Alerts Filtering Techniques. IEEE Trans. Dependable Secur. Comput. 16(5): 856-870 (2019) - [c4]Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale:
Correlation Clustering with Adaptive Similarity Queries. NeurIPS 2019: 12510-12519 - [i5]Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale:
Correlation Clustering with Adaptive Similarity Queries. CoRR abs/1905.11902 (2019) - 2018
- [j3]Vittorio P. Illiano, Andrea Paudice, Luis Muñoz-González, Emil C. Lupu:
Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. ACM Trans. Sens. Networks 14(1): 5:1-5:35 (2018) - [c3]Andrea Paudice, Luis Muñoz-González, Emil C. Lupu:
Label Sanitization Against Label Flipping Poisoning Attacks. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 5-15 - [i4]Andrea Paudice, Luis Muñoz-González, András György, Emil C. Lupu:
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. CoRR abs/1802.03041 (2018) - [i3]Andrea Paudice, Luis Muñoz-González, Emil C. Lupu:
Label Sanitization against Label Flipping Poisoning Attacks. CoRR abs/1803.00992 (2018) - 2017
- [j2]Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu:
Efficient Attack Graph Analysis through Approximate Inference. ACM Trans. Priv. Secur. 20(3): 10:1-10:30 (2017) - [c2]Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli:
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. AISec@CCS 2017: 27-38 - [i2]Luis Muñoz-González, Battista Biggio, Ambra Demontis, Andrea Paudice, Vasin Wongrassamee, Emil C. Lupu, Fabio Roli:
Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. CoRR abs/1708.08689 (2017) - 2016
- [j1]Domenico Cotroneo, Andrea Paudice, Antonio Pecchia:
Automated root cause identification of security alerts: Evaluation in a SaaS Cloud. Future Gener. Comput. Syst. 56: 375-387 (2016) - [i1]Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu:
Efficient Attack Graph Analysis through Approximate Inference. CoRR abs/1606.07025 (2016) - 2014
- [c1]Andrea Paudice, Santonu Sarkar, Domenico Cotroneo:
An Experiment with Conceptual Clustering for the Analysis of Security Alerts. ISSRE Workshops 2014: 335-340
Coauthor Index
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