Privacy and DRM Requirements for Collaborative Development of AI Applications

被引:1
作者
Mehri, Vida Ahmadi [1 ]
Ilie, Dragos [1 ]
Tutschku, Kurt [1 ]
机构
[1] Blekinge Inst Technol, Karlskrona, Sweden
来源
13TH INTERNATIONAL CONFERENCE ON AVAILABILITY, RELIABILITY AND SECURITY (ARES 2018) | 2019年
基金
欧盟地平线“2020”;
关键词
D O I
10.1145/3230833.3233268
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The use of data is essential for the capabilities of Data-driven Artificial intelligence (AI), Deep Learning and Big Data analysis techniques. This data usage, however, raises intrinsically the concerns on data privacy. In addition, supporting collaborative development of AI applications across organisations has become a major need in AI system design. Digital Rights Management (DRM) is required to protect intellectual property in such collaboration. As a consequence of DRM, privacy threats and privacy-enforcing mechanisms will interact with each other. This paper describes the privacy and DRM requirements in collaborative AI system design using AI pipelines. It describes the relationships between DRM and privacy and outlines the threats against these non-functional features. Finally, the paper provides first security architecture to protect against the threats on DRM and privacy in collaborative AI design using AI pipelines.
引用
收藏
页数:8
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