<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Benjamin I. P. Rubinstein</style></author><author><style face="normal" font="default" size="100%">Blaine Nelson</style></author><author><style face="normal" font="default" size="100%">Ling Huang</style></author><author><style face="normal" font="default" size="100%">Anthony D. Joseph</style></author><author><style face="normal" font="default" size="100%">Shing-hon Lau</style></author><author><style face="normal" font="default" size="100%">Nina Taft</style></author><author><style face="normal" font="default" size="100%">J. D. Tygar</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Evading Anomaly Detection through Variance Injection Attacks on PCA </style></title><secondary-title><style face="normal" font="default" size="100%">11th International Symposium on Recent Advances in Intrusion Detection (RAID'08)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2008</style></year><pub-dates><date><style  face="normal" font="default" size="100%">09/2008</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer-Verlag</style></publisher><pub-location><style face="normal" font="default" size="100%">Boston, MA</style></pub-location><pages><style face="normal" font="default" size="100%">394-395</style></pages><abstract><style face="normal" font="default" size="100%">Whenever machine learning is applied to security problems, it is important to measure vulnerabilities to adversaries who poison the training data. We demonstrate the impact of variance injection schemes on PCA-based network-wide volume anomaly detectors, when a single compromised PoP injects chaff into the network. These schemes can increase the chance of evading detection by sixfold, for DoS attacks.</style></abstract></record></records></xml>