Andrea Paudice

According to our database1, Andrea Paudice authored at least 20 papers between 2014 and 2023.

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Bibliography

2023
General Tail Bounds for Non-Smooth Stochastic Mirror Descent.
CoRR, 2023

An Improved Uniform Convergence Bound with Fat-Shattering Dimension.
CoRR, 2023

2022
Multitask Online Mirror Descent.
Trans. Mach. Learn. Res., 2022

Regret Analysis of Dyadic Search.
CoRR, 2022

A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization.
CoRR, 2022

Active Learning of Classifiers with Label and Seed Queries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
On Margin-Based Cluster Recovery with Oracle Queries.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Unsupervised Learning via L-statistic Minimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries.
Proceedings of the Conference on Learning Theory, 2021

2020
A Perturbation Resilient Framework for Unsupervised Learning.
CoRR, 2020

Exact Recovery of Mangled Clusters with Same-Cluster Queries.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Empirical Analysis and Validation of Security Alerts Filtering Techniques.
IEEE Trans. Dependable Secur. Comput., 2019

Correlation Clustering with Adaptive Similarity Queries.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Determining Resilience Gains From Anomaly Detection for Event Integrity in Wireless Sensor Networks.
ACM Trans. Sens. Networks, 2018

Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection.
CoRR, 2018

Label Sanitization Against Label Flipping Poisoning Attacks.
Proceedings of the ECML PKDD 2018 Workshops, 2018

2017
Efficient Attack Graph Analysis through Approximate Inference.
ACM Trans. Priv. Secur., 2017

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization.
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016
Automated root cause identification of security alerts: Evaluation in a SaaS Cloud.
Future Gener. Comput. Syst., 2016

2014
An Experiment with Conceptual Clustering for the Analysis of Security Alerts.
Proceedings of the 25th IEEE International Symposium on Software Reliability Engineering Workshops, 2014


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