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CCS
2009
ACM
14 years 2 months ago
A framework for quantitative security analysis of machine learning
We propose a framework for quantitative security analysis of machine learning methods. Key issus of this framework are a formal specification of the deployed learning model and a...
Pavel Laskov, Marius Kloft
MM
2009
ACM
177views Multimedia» more  MM 2009»
14 years 2 months ago
Transfer non-metric measures into metric for similarity search
Similarity search is widely used in multimedia retrieval systems to find the most similar ones for a given object. Some similarity measures, however, are not metric, leading to e...
Danzhou Liu, Kien A. Hua
ICDE
2006
IEEE
188views Database» more  ICDE 2006»
14 years 9 months ago
Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data
We introduce a new domain-independent framework for formulating and efficiently evaluating similarity queries over historical data, where given a history as a sequence of timestam...
Reza Sherkat, Davood Rafiei
MEDIAFORENSICS
2010
13 years 9 months ago
Minimizing embedding impact in steganography using trellis-coded quantization
In this paper, we propose a practical approach to minimizing embedding impact in steganography based on syndrome coding and trellis-coded quantization and contrast its performance...
Tomás Filler, Jan Judas, Jessica J. Fridric...
CIKM
2010
Springer
13 years 5 months ago
Online stratified sampling: evaluating classifiers at web-scale
Deploying a classifier to large-scale systems such as the web requires careful feature design and performance evaluation. Evaluation is particularly challenging because these larg...
Paul N. Bennett, Vitor R. Carvalho