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ORCID6th AISec@CCS 2013: Berlin, Germany
- Ahmad-Reza Sadeghi, Blaine Nelson, Christos Dimitrakakis, Elaine Shi:
AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013. ACM 2013, ISBN 978-1-4503-2488-5
Keynote address
- Konrad Rieck:
Off the beaten path: machine learning for offensive security. 1-2
Security in societal computing
- David Mandell Freeman:
Using naive bayes to detect spammy names in social networks. 3-12 - Arunesh Sinha
, Yan Li, Lujo Bauer:
What you want is not what you get: predicting sharing policies for text-based content on facebook. 13-24 - Jeremiah Blocki, Manuel Blum, Anupam Datta:
GOTCHA password hackers! 25-34 - Anna Leontjeva, Moisés Goldszmidt, Yinglian Xie, Fang Yu, Martín Abadi:
Early security classification of skype users via machine learning. 35-44
Intrusion and malware detection
- Hugo Gascon, Fabian Yamaguchi, Daniel Arp, Konrad Rieck:
Structural detection of android malware using embedded call graphs. 45-54 - Eitan Menahem, Yuval Elovici, Nir Amar, Gabi Nakibly:
ACTIDS: an active strategy for detecting and localizing network attacks. 55-66 - Christian Wressnegger, Guido Schwenk, Daniel Arp, Konrad Rieck:
A close look on n-grams in intrusion detection: anomaly detection vs. classification. 67-76
Adversarial learning
- David Stevens, Daniel Lowd:
On the hardness of evading combinations of linear classifiers. 77-86 - Battista Biggio, Ignazio Pillai, Samuel Rota Bulò, Davide Ariu, Marcello Pelillo, Fabio Roli:
Is data clustering in adversarial settings secure? 87-98 - Alex Kantchelian, Sadia Afroz, Ling Huang, Aylin Caliskan Islam, Brad Miller, Michael Carl Tschantz, Rachel Greenstadt, Anthony D. Joseph, J. D. Tygar:
Approaches to adversarial drift. 99-110
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