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ORCID9th AISec@CCS 2016: Vienna, Austria
- David Mandell Freeman, Aikaterini Mitrokotsa
, Arunesh Sinha:
Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, AISec@CCS 2016, Vienna, Austria, October 28, 2016. ACM 2016, ISBN 978-1-4503-4573-6
Session 1: Security Data Sets
- Yisroel Mirsky, Asaf Shabtai, Lior Rokach, Bracha Shapira, Yuval Elovici:
SherLock vs Moriarty: A Smartphone Dataset for Cybersecurity Research. 1-12
Session 2: Machine Learning and Security in Practice
- Hyrum S. Anderson, Jonathan Woodbridge, Bobby Filar:
DeepDGA: Adversarially-Tuned Domain Generation and Detection. 13-21 - Matthias Kirchler, Dominik Herrmann, Jens Lindemann, Marius Kloft:
Tracked Without a Trace: Linking Sessions of Users by Unsupervised Learning of Patterns in Their DNS Traffic. 23-34 - Blake Anderson, David A. McGrew:
Identifying Encrypted Malware Traffic with Contextual Flow Data. 35-46 - Hao Zhang, Danfeng (Daphne) Yao, Naren Ramakrishnan:
Causality-based Sensemaking of Network Traffic for Android Application Security. 47-58
Session 3: Foundations
- Paolo Russu, Ambra Demontis, Battista Biggio, Giorgio Fumera, Fabio Roli:
Secure Kernel Machines against Evasion Attacks. 59-69 - Amit Deo, Santanu Kumar Dash, Guillermo Suarez-Tangil, Volodya Vovk, Lorenzo Cavallaro:
Prescience: Probabilistic Guidance on the Retraining Conundrum for Malware Detection. 71-82 - Tomás Pevný, Petr Somol:
Discriminative Models for Multi-instance Problems with Tree Structure. 83-91
Session 4: Privacy
- Kumar Sharad:
True Friends Let You Down: Benchmarking Social Graph Anonymization Schemes. 93-104 - Kumar Sharad:
Change of Guard: The Next Generation of Social Graph De-anonymization Attacks. 105-116 - Mohsen Ghassemi, Anand D. Sarwate, Rebecca N. Wright:
Differentially Private Online Active Learning with Applications to Anomaly Detection. 117-128 - Tao Zhang, Quanyan Zhu:
A Dual Perturbation Approach for Differential Private ADMM-Based Distributed Empirical Risk Minimization. 129-137
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