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» Knowledge, Probability, and Adversaries
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KDD
2005
ACM
158views Data Mining» more  KDD 2005»
14 years 7 months ago
Adversarial learning
Many classification tasks, such as spam filtering, intrusion detection, and terrorism detection, are complicated by an adversary who wishes to avoid detection. Previous work on ad...
Daniel Lowd, Christopher Meek
TGC
2007
Springer
14 years 1 months ago
Adversaries and Information Leaks (Tutorial)
Secure information flow analysis aims to prevent programs from leaking their H (high) inputs to their L (low) outputs. A major challenge in this area is to relax the standard noni...
Geoffrey Smith
ICDE
2009
IEEE
1081views Database» more  ICDE 2009»
15 years 7 months ago
Modeling and Integrating Background Knowledge in Data Anonymization
Recent work has shown the importance of considering the adversary’s background knowledge when reasoning about privacy in data publishing. However, it is very difficult for the d...
Tiancheng Li, Ninghui Li, Jian Zhang
ATAL
2007
Springer
14 years 1 months ago
An adversarial environment model for bounded rational agents in zero-sum interactions
Multiagent environments are often not cooperative nor collaborative; in many cases, agents have conflicting interests, leading to adversarial interactions. This paper presents a ...
Inon Zuckerman, Sarit Kraus, Jeffrey S. Rosenschei...
INFOCOM
2007
IEEE
14 years 1 months ago
Resilient Network Coding in the Presence of Byzantine Adversaries
Abstract— Network coding substantially increases network throughput. But since it involves mixing of information inside the network, a single corrupted packet generated by a mali...
Sidharth Jaggi, Michael Langberg, Sachin Katti, Tr...