Adversarial knowledge discovery

对抗性知识发现

• 批准号: 5532-2011
• 负责人: Skillicorn, David
• 金额: $ 2.11万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=544265
• 关键词: Adversarial; knowledge; discovery

Adversarial knowledge discovery builds models from data in settings where the interests of those doing the modelling are not aligned with the interests of some of those being modelled. This includes law enforcement, counterterrorism, border control, fraud, anti-money-laundering and, increasingly, mainstream domains such as customer relationship management. Criminal activity costs Canada perhaps as much as 6% of GDP, billions of dollars per year; and some crime and terrorism also has costs in property damage, injuries, and lives lost.

对抗性知识发现从数据中构建模型，在这些数据中，建模者的利益与被建模者的利益不一致。这包括执法、反恐、边境控制、欺诈、反洗钱，以及越来越多的主流领域，如客户关系管理。犯罪活动给加拿大造成的损失可能高达GDP的6%，每年数十亿美元；一些犯罪和恐怖主义也会造成财产损失、伤害和生命损失。