An Experiment with Conceptual Clustering for the Analysis of Security Alerts. - Andrea Paudice; Santonu Sarkar; Domenico Cotroneo (ISSRE Workshops, 2014)

Automated root cause identification of security alerts: Evaluation in a SaaS Cloud. - Domenico Cotroneo; Andrea Paudice; Antonio Pecchia (Future Gener. Comput. Syst., 2016)

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization. - Luis Muñoz-González; Battista Biggio; Ambra Demontis; Andrea Paudice; Vasin Wongrassamee; Emil C. Lupu; Fabio Roli (AISec@CCS, 2017)

Efficient Attack Graph Analysis through Approximate Inference. - Luis Muñoz-González; Daniele Sgandurra; Andrea Paudice; Emil C. Lupu (ACM Trans. Priv. Secur., 2017)

Label Sanitization Against Label Flipping Poisoning Attacks. - Andrea Paudice; Luis Muñoz-González; Emil C. Lupu (Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML, 2018)

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection. - Andrea Paudice; Luis Muñoz-González; András György 001; Emil C. Lupu (CoRR, 2018)

Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks. - Vittorio P. Illiano; Andrea Paudice; Luis Muñoz-González; Emil C. Lupu (ACM Trans. Sens. Networks, 2018)

Correlation Clustering with Adaptive Similarity Queries. - Marco Bressan 002; Nicolò Cesa-Bianchi; Andrea Paudice; Fabio Vitale (NeurIPS, 2019)

Empirical Analysis and Validation of Security Alerts Filtering Techniques. - Domenico Cotroneo; Andrea Paudice; Antonio Pecchia (IEEE Trans. Dependable Secur. Comput., 2019)

Exact Recovery of Mangled Clusters with Same-Cluster Queries. - Marco Bressan 002; Nicolò Cesa-Bianchi; Silvio Lattanzi; Andrea Paudice (NeurIPS, 2020)

A Perturbation Resilient Framework for Unsupervised Learning. - Andreas Maurer; Daniela A. Parletta; Andrea Paudice; Massimiliano Pontil (CoRR, 2020)

Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. - Marco Bressan 002; Nicolò Cesa-Bianchi; Silvio Lattanzi; Andrea Paudice (COLT, 2021)

Robust Unsupervised Learning via L-statistic Minimization. - Andreas Maurer; Daniela Angela Parletta; Andrea Paudice; Massimiliano Pontil (ICML, 2021)

On Margin-Based Cluster Recovery with Oracle Queries. - Marco Bressan 002; Nicolò Cesa-Bianchi; Silvio Lattanzi; Andrea Paudice (NeurIPS, 2021)

Active Learning of Classifiers with Label and Seed Queries. - Marco Bressan 002; Nicolò Cesa-Bianchi; Silvio Lattanzi; Andrea Paudice; Maximilian Thiessen (NeurIPS, 2022)

A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization. - François Bachoc; Tommaso Cesari; Roberto Colomboni; Andrea Paudice (CoRR, 2022)

Regret Analysis of Dyadic Search. - François Bachoc; Tommaso Cesari; Roberto Colomboni; Andrea Paudice (CoRR, 2022)

Multitask Online Mirror Descent. - Nicolò Cesa-Bianchi; Pierre Laforgue; Andrea Paudice; Massimiliano Pontil (Trans. Mach. Learn. Res., 2022)

General Tail Bounds for Non-Smooth Stochastic Mirror Descent. - Khaled Eldowa; Andrea Paudice (AISTATS, 2024)

Margin-Based Active Learning of Classifiers. - Marco Bressan 002; Nicolò Cesa-Bianchi; Silvio Lattanzi; Andrea Paudice (J. Mach. Learn. Res., 2024)

High Probability Bounds for Stochastic Subgradient Schemes with Heavy Tailed Noise]. - Daniela Angela Parletta; Andrea Paudice; Massimiliano Pontil; Saverio Salzo (SIAM J. Math. Data Sci., 2024)

A Theoretical Framework for Zeroth-Order Budget Convex Optimization. - François Bachoc; Tommaso Cesari; Roberto Colomboni; Andrea Paudice (Trans. Mach. Learn. Res., 2024)

An improved uniform convergence bound with fat-shattering dimension. - Roberto Colomboni; Emmanuel Esposito; Andrea Paudice (Inf. Process. Lett., 2025)

Revisiting Agnostic Boosting. - Arthur da Cunha 001; Mikael Møller Høgsgaard; Andrea Paudice; Yuxin Sun (CoRR, 2025)

Uniform Mean Estimation for Heavy-Tailed Distributions via Median-of-Means. - Mikael Møller Høgsgaard; Andrea Paudice (CoRR, 2025)