Sciweavers

417 search results - page 7 / 84
» Synthesizing Test Data for Fraud Detection Systems
Sort
View
ICASSP
2010
IEEE
13 years 8 months ago
Revisiting the security of speaker verification systems against imposture using synthetic speech
In this paper, we investigate imposture using synthetic speech. Although this problem was first examined over a decade ago, dramatic improvements in both speaker verification (S...
Phillip L. De Leon, Vijendra Raj Apsingekar, Micha...
DAWAK
2003
Springer
14 years 28 days ago
Performance Tests in Data Warehousing ETLM Process for Detection of Changes in Data Origin
In a data warehouse (DW) environment, when the operational environment does not posses or does not want to inform the data about the changes that occurred, controls have to be impl...
Rosana L. de B. A. Rocha, Leonardo Figueiredo Card...
FORTE
2008
13 years 9 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
ICASSP
2011
IEEE
12 years 11 months ago
Detection of synthetic speech for the problem of imposture
In this paper, we present new results from our research into the vulnerability of a speaker verification (SV) system to synthetic speech. We use a HMM-based speech synthesizer, w...
Phillip L. De Leon, Inma Hernáez, Ibon Sara...
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 8 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han