Andrea Paudice

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Unsupervised Learning

Conceptual Clustering

Top Venues

Future Gener. Comput. Syst.

ACM Trans. Sens. Networks

Publications

Khaled Eldowa, Andrea Paudice
General Tail Bounds for Non-Smooth Stochastic Mirror Descent. AISTATS (2024)
Roberto Colomboni, Emmanuel Esposito, Andrea Paudice
An Improved Uniform Convergence Bound with Fat-Shattering Dimension. CoRR (2023)
Khaled Eldowa, Andrea Paudice
General Tail Bounds for Non-Smooth Stochastic Mirror Descent. CoRR (2023)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
Active Learning of Classifiers with Label and Seed Queries. CoRR (2022)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
Active Learning of Classifiers with Label and Seed Queries. NeurIPS (2022)
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
Multitask Online Mirror Descent. Trans. Mach. Learn. Res. 2022 (2022)
François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice
A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization. CoRR (2022)
François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice
Regret Analysis of Dyadic Search. CoRR (2022)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
On Margin-Based Cluster Recovery with Oracle Queries. CoRR (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. COLT (2021)
Nicolò Cesa-Bianchi, Pierre Laforgue, Andrea Paudice, Massimiliano Pontil
Multitask Online Mirror Descent. CoRR (2021)
Andreas Maurer, Daniela Angela Parletta, Andrea Paudice, Massimiliano Pontil
Robust Unsupervised Learning via L-statistic Minimization. ICML (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. CoRR (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
On Margin-Based Cluster Recovery with Oracle Queries. NeurIPS (2021)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Mangled Clusters with Same-Cluster Queries. CoRR (2020)
Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
Exact Recovery of Mangled Clusters with Same-Cluster Queries. NeurIPS (2020)
Andreas Maurer, Daniela A. Parletta, Andrea Paudice, Massimiliano Pontil
A Perturbation Resilient Framework for Unsupervised Learning. CoRR (2020)
Domenico Cotroneo, Andrea Paudice, Antonio Pecchia
Empirical Analysis and Validation of Security Alerts Filtering Techniques. IEEE Trans. Dependable Secur. Comput. 16 (5) (2019)
Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale
Correlation Clustering with Adaptive Similarity Queries. NeurIPS (2019)
Marco Bressan, Nicolò Cesa-Bianchi, Andrea Paudice, Fabio Vitale
Correlation Clustering with Adaptive Similarity Queries. CoRR (2019)
Andrea Paudice, Luis Muñoz-González, András György, Emil C. Lupu
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. CoRR (2018)
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) (2018)
Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
Label Sanitization against Label Flipping Poisoning Attacks. CoRR (2018)
Andrea Paudice, Luis Muñoz-González, Emil C. Lupu
Label Sanitization Against Label Flipping Poisoning Attacks. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
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)
Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu
Efficient Attack Graph Analysis through Approximate Inference. ACM Trans. Priv. Secur. 20 (3) (2017)
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 (2017)
Luis Muñoz-González, Daniele Sgandurra, Andrea Paudice, Emil C. Lupu
Efficient Attack Graph Analysis through Approximate Inference. CoRR (2016)
Domenico Cotroneo, Andrea Paudice, Antonio Pecchia
Automated root cause identification of security alerts: Evaluation in a SaaS Cloud. Future Gener. Comput. Syst. 56 (2016)
Andrea Paudice, Santonu Sarkar, Domenico Cotroneo
An Experiment with Conceptual Clustering for the Analysis of Security Alerts. ISSRE Workshops (2014)