Workshop: Theory and Science of Obfuscation as a Methodology for Privacy and Security

混淆研究如何在现有信号中插入噪声，使数据或信息流更加模糊、混乱、难以利用和难以采取行动。作为隐私/安全与信息处理领域的一个重要课题，它已经在许多相关领域从许多不同的角度进行了研究，例如数据隐私、数据库、机器学习、伦理学等。这次研讨会代表了第一次尝试巩固和塑造这个领域作为一个整体，并帮助发展一个新的研究社区，以整体的方式进行混淆研究。具体来说，本次研讨会旨在通过研究人员、设计师和系统生产者，包括但不限于学术研究人员、工业研究人员和实践者，以及独立软件生产者和隐私活动家，围绕混淆培养和发展新的跨学科研究伙伴关系。研讨会旨在为混淆技术创建基准、评估工具和评估框架，将混淆的概念形式化，并确定其关键挑战和用例。通过开放的在线出版物，本次研讨会促进了关于将混淆应用于实践的更广泛的讨论，因此对行业和政府以及对开发下一代隐私技术感兴趣的用户和开发人员社区产生了更广泛的影响。

Obfuscation studies how to insert noise into an existing signal to make data or information-stream more ambiguous, confusing, harder to exploit, and more difficult to act on. As an important topic in both privacy/security and information processing, it has been studied from many different perspectives in many related areas, e.g., data privacy, databases, machine learning, ethics, etc. This workshop represents one of the first attempts to consolidate and shape the area as a whole, and help develop a new research community that carries out obfuscation research in a holistic fashion.Specifically, this workshop aims to foster and develop new interdisciplinary research partnerships around obfuscation, by involving researchers, designers, and system producers, including but not limited to academic researchers, industry researchers and practitioners, and independent software producers and privacy activists. The workshop seeks to create benchmarks, assessment tools, and evaluation frameworks for obfuscation techniques, formalizing the notion of obfuscation, and identifying its key challenges and use cases. Through open, online publications, this workshop contributes to the broader conversation about putting obfuscation in practice, and therefore has broader impacts on industry and government, as well as user and developer communities who are interested in producing the next-generation privacy technologies.