AISec

Publications

2013

David Stevens, Daniel Lowd
On the hardness of evading combinations of linear classifiers. AISec (2013)
Hugo Gascon, Fabian Yamaguchi, Daniel Arp, Konrad Rieck
Structural detection of android malware using embedded call graphs. AISec (2013)
Konrad Rieck
Off the beaten path: machine learning for offensive security. AISec (2013)
Arunesh Sinha, Yan Li, Lujo Bauer
What you want is not what you get: predicting sharing policies for text-based content on facebook. AISec (2013)
David Mandell Freeman
Using naive bayes to detect spammy names in social networks. AISec (2013)
Eitan Menahem, Yuval Elovici, Nir Amar, Gabi Nakibly
ACTIDS: an active strategy for detecting and localizing network attacks. AISec (2013)
Christian Wressnegger, Guido Schwenk, Daniel Arp, Konrad Rieck
-grams in intrusion detection: anomaly detection vs. classification. AISec (2013)
Anna Leontjeva, Moisés Goldszmidt, Yinglian Xie, Fang Yu, Martín Abadi
Early security classification of skype users via machine learning. AISec (2013)
Jeremiah Blocki, Manuel Blum, Anupam Datta
GOTCHA password hackers! AISec (2013)
AISec'13, Proceedings of the 2013 ACM Workshop on Artificial Intelligence and Security, Co-located with CCS 2013, Berlin, Germany, November 4, 2013 AISec (2013)
Battista Biggio, Ignazio Pillai, Samuel Rota Bulò, Davide Ariu, Marcello Pelillo, Fabio Roli
Is data clustering in adversarial settings secure? AISec (2013)
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. AISec (2013)

2012

2011

2010