From object obfuscation to contextually-dependent identification: enhancing automated privacy protection in street-level image platforms (SLIPs)

Mark Burdon, Tegan Cohen, Josh Buckley, Michael Milford
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引用次数: 0

Abstract

Street-level image platforms (SLIPs) employ indiscriminate forms of data collection that include potentially privacy invasive images. Both the scale and the indiscriminate nature of data collection...
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从对象混淆到根据上下文进行识别:加强街道级图像平台(SLIPs)中的自动隐私保护
街道图像平台(SLIPs)采用不加区分的数据收集形式,其中包括可能侵犯隐私的图像。数据收集的规模和不加区分的性质...
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
17
期刊介绍: The last decade has seen the introduction of computers and information technology at many levels of human transaction. Information technology (IT) is now used for data collation, in daily commercial transactions like transfer of funds, conclusion of contract, and complex diagnostic purposes in fields such as law, medicine and transport. The use of IT has expanded rapidly with the introduction of multimedia and the Internet. Any new technology inevitably raises a number of questions ranging from the legal to the ethical and the social. Information & Communications Technology Law covers topics such as: the implications of IT for legal processes and legal decision-making and related ethical and social issues.
期刊最新文献
When objects betray you: the Internet of Things and the privilege against self-incrimination From object obfuscation to contextually-dependent identification: enhancing automated privacy protection in street-level image platforms (SLIPs) Balancing the autonomy and protection of children: competency challenges in data protection law Fidelity in legal coding: applying legal translation frameworks to address interpretive challenges The role of corporate social responsibility in the regulation of OTT platforms: the case of film industry and Turkish corporate law
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