Andrea Paudice
Andrea Paudice
Università degli Studi di Milano, Istituto Italiano di Tecnologia
Verified email at unimi.it
Title
Cited by
Cited by
Year
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
1252017
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
272016
Efficient attack graph analysis through approximate inference
L Munoz-Gonzalez, D Sgandurra, A Paudice, EC Lupu
arXiv preprint arXiv:1606.07025, 2016
262016
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
242018
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
152018
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
152014
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
82018
Empirical analysis and validation of security alerts filtering techniques
D Cotroneo, A Paudice, A Pecchia
IEEE Transactions on Dependable and Secure Computing, 2017
62017
Correlation Clustering with Adaptive Similarity Queries
M Bressan, N Cesa-Bianchi, A Paudice, F Vitale
Advances in Neural Information Processing Systems, 12510-12519, 2019
32019
Efficient Attack Graph Analysis through Approximate Inference
LMUNOZG ALEZ, D SGANDURRA, A PAUDICE, EC LUPU
arXiv preprint arXiv:1606.07025, 2016
2016
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