人工智能的逆向工程--反向智能研究综述
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP311

基金项目:

国家自然科学基金优秀青年科学基金(62122013),国家自然科学基金广东联合基金重点项目(U2001211);北京理工大学青年教师学术启动计划(3070012222010)


Survey on Reverse-Engineering Artificial Intelligence
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    在大数据时代,人工智能得到了蓬勃发展,尤其以机器学习、深度学习为代表的技术更是取得了突破性进展.随着人工智能在实际场景中的广泛应用,人工智能的安全和隐私问题也逐渐暴露出来,并吸引了学术界和工业界的广泛关注.以机器学习为代表,许多学者从攻击和防御的角度对模型的安全进行了深入的研究,并且提出了一系列的方法.然而,当前对机器学习安全的研究缺少完整的理论架构和系统架构.从训练数据逆向还原、模型结构反向推演、模型缺陷分析等角度进行总结及分析,建立反向智能的抽象定义及其分类体系.同时,在反向智能的基础上,将机器学习安全作为应用对其进行简要归纳.最后探讨了反向智能研究当前面临的挑战以及未来的研究方向.建立反向智能的理论体系,对于促进人工智能健康发展极具理论意义.

    Abstract:

    In the era of big data, artificial intelligence, especially the representative technologies of machine learning and deep learning, has made great progress in recent years. As artificial intelligence has been widely used to various real-world applications, the security and privacy problems of artificial intelligence is gradually exposed, and has attracted increasing attention in academic and industry communities. Researchers have proposed many works focusing on solving the security and privacy issues of machine learning from the perspective of attack and defense. However, current methods on the security issue of machine learning lack of the complete theory framework and system framework. This survey summarizes and analyzes the revserve recovery of training data and model structure, the defect of the model. And this servey gives the formal definition and classification system of reverse-engineering artificial intelligence. In the meantime, this survey summarizes the progress of machine learning security on the basis of reverse-engineering aritificial intelligence, wherethe security of machine learning can be taken as an application. Finally, the current challenges and future research directions of reverse-engineering artificial intelligence are discussed. Building the theory framework of reverse-engineering artificial intelligence can promote the develop of artificial intelligence in a healthy way.

    参考文献
    相似文献
    引证文献
引用本文

李长升,汪诗烨,李延铭,张成喆,袁野,王国仁.人工智能的逆向工程--反向智能研究综述.软件学报,,():0

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2021-06-03
  • 最后修改日期:2021-11-24
  • 录用日期:
  • 在线发布日期: 2022-12-30
  • 出版日期:
您是第位访问者
版权所有:中国科学院软件研究所 京ICP备05046678号-3
地址:北京市海淀区中关村南四街4号,邮政编码:100190
电话:010-62562563 传真:010-62562533 Email:jos@iscas.ac.cn
技术支持:北京勤云科技发展有限公司

京公网安备 11040202500063号