secure machine learning, a brief overview
文献类型：会议论文
| 作者 | Liao Xiaofeng ; Ding Liping ; Wang Yongji |
| 出版日期 | 2011 |
| 会议名称 | 2011 5th International Conference on Secure Software Integration and Reliability Improvement - Companion, SSIRI-C 2011 |
| 会议日期 | 27-Jun-02 |
| 会议地点 | Jeju Island, Korea, Republic of |
| 关键词 | C (programming language) Intrusion detection Learning systems Population statistics Software reliability |
| 页码 | 26-29 |
| 英文摘要 | The purpose of this article is to give a brief overview on the current work towards the emerging research problem of secure machine learning. Machine learning technique has been applied widely in various applications especially in spam detection and network intrusion detection. Most existing learning schemes assume that the environment they settle in is benign. However this is not always true in the real adversarial decision-making situations where the future data sets and the training data set are no longer from the same population, due to the transformations employed by the adversaries. As more and more machine learning systems are put into use, it is imperative to consider the security of the machine learning system. As a emerging problem, it is attracting more and more researchers' attention. In this article, we present a brief overview on secure machine learning and current progress on developing secure machine learning algorithms. © 2011 IEEE. |
| 收录类别 | EI |
| 会议录 | 2011 5th International Conference on Secure Software Integration and Reliability Improvement - Companion, SSIRI-C 2011
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| 会议录出版地 | United States |
| ISBN号 | 9780769544540 |
| 源URL | [http://124.16.136.157/handle/311060/14231]  |
| 专题 | 软件研究所_互联网软件技术实验室 _会议论文 |
| 推荐引用方式 GB/T 7714 | Liao Xiaofeng,Ding Liping,Wang Yongji. secure machine learning, a brief overview[C]. 见:2011 5th International Conference on Secure Software Integration and Reliability Improvement - Companion, SSIRI-C 2011. Jeju Island, Korea, Republic of. 27-Jun-02. |
入库方式： OAI收割
来源：软件研究所
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