Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16
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9781450345736

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Tracked Without a Trace

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996770 ◽

2016 ◽

Cited By ~ 10

Author(s):

Matthias Kirchler ◽

Dominik Herrmann ◽

Jens Lindemann ◽

Marius Kloft

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Session details: Session 3: Foundations

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/3257159 ◽

2016 ◽

Author(s):

Brad Miller

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Session details: Session 1: Security Data Sets

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/3257157 ◽

2016 ◽

Author(s):

David Mandell Freeman

Keyword(s):

Data Sets

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Discriminative Models for Multi-instance Problems with Tree Structure

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996761 ◽

2016 ◽

Cited By ~ 4

Author(s):

Tomas Pevny ◽

Petr Somol

Keyword(s):

Tree Structure ◽

Discriminative Models

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Identifying Encrypted Malware Traffic with Contextual Flow Data

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996768 ◽

2016 ◽

Cited By ~ 35

Author(s):

Blake Anderson ◽

David McGrew

Keyword(s):

Flow Data

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Causality-based Sensemaking of Network Traffic for Android Application Security

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996760 ◽

2016 ◽

Cited By ~ 6

Author(s):

Hao Zhang ◽

Danfeng (Daphne) Yao ◽

Naren Ramakrishnan

Keyword(s):

Network Traffic ◽

Android Application ◽

Application Security

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Secure Kernel Machines against Evasion Attacks

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996771 ◽

2016 ◽

Cited By ~ 12

Author(s):

Paolo Russu ◽

Ambra Demontis ◽

Battista Biggio ◽

Giorgio Fumera ◽

Fabio Roli

Keyword(s):

Kernel Machines

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A Dual Perturbation Approach for Differential Private ADMM-Based Distributed Empirical Risk Minimization

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996762 ◽

2016 ◽

Cited By ~ 3

Author(s):

Tao Zhang ◽

Quanyan Zhu

Keyword(s):

Perturbation Approach ◽

Empirical Risk Minimization ◽

Risk Minimization ◽

Empirical Risk

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Differentially Private Online Active Learning with Applications to Anomaly Detection

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/2996758.2996766 ◽

2016 ◽

Cited By ~ 5

Author(s):

Mohsen Ghassemi ◽

Anand D. Sarwate ◽

Rebecca N. Wright

Keyword(s):

Active Learning ◽

Anomaly Detection

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Session details: Session 4: Privacy

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16 ◽

10.1145/3257160 ◽

2016 ◽

Author(s):

Konrad Rieck

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Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Tracked Without a Trace

Session details: Session 3: Foundations

Session details: Session 1: Security Data Sets

Discriminative Models for Multi-instance Problems with Tree Structure

Identifying Encrypted Malware Traffic with Contextual Flow Data

Causality-based Sensemaking of Network Traffic for Android Application Security

Secure Kernel Machines against Evasion Attacks

A Dual Perturbation Approach for Differential Private ADMM-Based Distributed Empirical Risk Minimization

Differentially Private Online Active Learning with Applications to Anomaly Detection

Session details: Session 4: Privacy

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security - ALSec '16
Latest Publications