- 授权协议: MIT
- 开发语言: Python
- 操作系统: 跨平台
- 软件首页: https://github.com/IBM/adversarial-robustness-toolbox
- 软件文档: https://github.com/IBM/adversarial-robustness-toolbox/blob/master/README.md
- 官方下载: https://github.com/IBM/adversarial-robustness-toolbox
软件介绍
Adversarial Robustness Toolbox 是 IBM 研究团队开源的用于检测模型及对抗攻击的工具箱,为开发人员加强 AI 模型被误导的防御性,让 AI 系统变得更加安全,目前支持 TensorFlow 和 Keras 框架,未来预计会支持更多框架。
支持以下攻击和防御的方法
Deep Fool
Fast Gradient Method
Jacobian Saliency Map
Universal Perturbation
Virtual Adversarial Method
C&W Attack
NewtonFool
防御方法
Feature squeezing
Spatial smoothing
Label smoothing
Adversarial training
Virtual adversarial training
AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and
George F. Luger、William A Stubblefield / Addison Wesley / 2008-09-04 / USD 22.20
This book is designed for three primary purposes. The first is as a programming language component of a general class in Artificial Intelligence. From this viewpoint, the authors see as essential that......一起来看看 《AI Algorithms, Data Structures, and Idioms in Prolog, Lisp, and 》 这本书的介绍吧!
