Publications

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Filters: Author is Pavel Laskov  [Clear All Filters]
Conference Paper
B. Nelson, Biggio, B., e Laskov, P., «Understanding the Risk Factors of Learning in Adversarial Environments», in 4th ACM Workshop on Artificial Intelligence and Security (AISec 2011), Chicago, IL, USA, 2011, pagg 87–92. (132.42 KB)
B. Biggio, Nelson, B., e Laskov, P., «Support Vector Machines Under Adversarial Label Noise», in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol 20, pagg 97-112. (533.74 KB)
B. Biggio, Nelson, B., e Laskov, P., «Poisoning attacks against support vector machines», in 29th Int'l Conf. on Machine Learning (ICML), 2012, pagg 1807–1814. (452.94 KB)
B. Nelson, Biggio, B., e Laskov, P., «Microbagging Estimators: An Ensemble Approach to Distance-weighted Classifiers», in Journal of Machine Learning Research - Proc. 3rd Asian Conference on Machine Learning (ACML 2011), Taoyuan, Taiwan, 2011, vol 20, pagg 63-79. (481.46 KB)
B. Biggio, Corona, I., Maiorca, D., Nelson, B., Srndic, N., Laskov, P., Giacinto, G., e Roli, F., «Evasion attacks against machine learning at test time», in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2013, vol 8190, pagg 387-402. (473.78 KB)