Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

Authors: Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli | Published: 2017-04-28
2017.04.28 2025.04.03
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Intrusion Prevention and Detection in Grid Computing – The ALICE Case

Authors: Andres Gomez, Camilo Lara, Udo Kebschull | Published: 2017-04-20
2017.04.20 2025.04.03
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Robust Smartphone App Identification Via Encrypted Network Traffic Analysis

Authors: Vincent F. Taylor, Riccardo Spolaor, Mauro conti, Ivan Martinovic | Published: 2017-04-20
2017.04.20 2025.04.03
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Semi-supervised classification for dynamic Android malware detection

Authors: Li Chen, Mingwei Zhang, Chih-Yuan Yang, Ravi Sahita | Published: 2017-04-19
2017.04.19 2025.04.03
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Universal Adversarial Perturbations Against Semantic Image Segmentation

Authors: Jan Hendrik Metzen, Mummadi Chaithanya Kumar, Thomas Brox, Volker Fischer | Published: 2017-04-19 | Updated: 2017-07-31
2017.04.19 2025.04.03
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Morpheo: Traceable Machine Learning on Hidden data

Authors: Mathieu Galtier, Camille Marini | Published: 2017-04-17
2017.04.17 2025.04.03
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A Security Monitoring Framework For Virtualization Based HEP Infrastructures

Authors: A. Gomez Ramirez, M. Martinez Pedreira, C. Grigoras, L. Betev, C. Lara, U. Kebschull | Published: 2017-04-16
2017.04.16 2025.04.03
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The Space of Transferable Adversarial Examples

Authors: Florian Tramèr, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel | Published: 2017-04-11 | Updated: 2017-05-23
2017.04.11 2025.04.03
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Optimized Data Pre-Processing for Discrimination Prevention

Authors: Flavio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney | Published: 2017-04-11
2017.04.11 2025.04.03
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Interpretable Explanations of Black Boxes by Meaningful Perturbation

Authors: Ruth Fong, Andrea Vedaldi | Published: 2017-04-11 | Updated: 2021-12-03
2017.04.11 2025.04.03
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