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IMC
2009
ACM
14 years 2 months ago
ANTIDOTE: understanding and defending against poisoning of anomaly detectors
Statistical machine learning techniques have recently garnered increased popularity as a means to improve network design and security. For intrusion detection, such methods build ...
Benjamin I. P. Rubinstein, Blaine Nelson, Ling Hua...
KDD
2008
ACM
163views Data Mining» more  KDD 2008»
14 years 8 months ago
The cost of privacy: destruction of data-mining utility in anonymized data publishing
Re-identification is a major privacy threat to public datasets containing individual records. Many privacy protection algorithms rely on generalization and suppression of "qu...
Justin Brickell, Vitaly Shmatikov
EUROCRYPT
2004
Springer
14 years 1 months ago
On Generating the Initial Key in the Bounded-Storage Model
Abstract. In the bounded-storage model (BSM) for information-theoretically secure encryption and key-agreement one uses a random string R whose length t is greater than the assumed...
Stefan Dziembowski, Ueli M. Maurer
USS
2010
13 years 5 months ago
P4P: Practical Large-Scale Privacy-Preserving Distributed Computation Robust against Malicious Users
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...
TCC
2010
Springer
324views Cryptology» more  TCC 2010»
14 years 4 months ago
Leakage-Resilient Signatures
The strongest standard security notion for digital signature schemes is unforgeability under chosen message attacks. In practice, however, this notion can be insufficient due to â€...
Sebastian Faust, Eike Kiltz, Krzysztof Pietrzak, G...