Interpretable Machine Learning for Privacy-Preserving Pervasive Systems

Our everyday interactions with pervasive systems generate traces that capture various aspects of human behavior and enable machine learning algorithms to extract latent information about users. In this paper, we propose a machine learning interpretability framework that enables users to understand how these generated traces violate their privacy

EsPRESSo: Efficient Privacy-Preserving Evaluation of Sample Set Similarity

Electronic information is increasingly often shared among entities without complete mutual trust. To address related security and privacy issues, a few cryptographic techniques have emerged that support privacy-preserving information sharing and retrieval. One interesting open problem in this context involves two parties that need to assess the similarity of their datasets, but are reluctant to disclose their actual content. This paper presents an efficient and provably-secure construction supporting the privacy-preserving evaluation of sample set similarity, where similarity is measured as the Jaccard index. We present two protocols: the first securely computes the (Jaccard) similarity of two sets, and the second approximates it, using MinHash techniques, with lower complexities. We show that our novel protocols are attractive in many compelling applications, including document/multimedia similarity, biometric authentication, and genetic tests. In the process, we demonstrate that our constructions are appreciably more efficient than prior work.Comment: A preliminary version of this paper was published in the Proceedings of the 7th ESORICS International Workshop on Digital Privacy Management (DPM 2012). This is the full version, appearing in the Journal of Computer Securit

Legal and Policy Framework for Promoting Equitable Access to Documentary Heritage

The National Mission for Manuscripts of India, in association with UNESCO, completed a research study to assist in the development of legal and policy framework and protocols for promoting equitable access to documentary heritage, relevant to India and other South Asian countries. This study report seeks to accurately identify and critically examine the legal and policy framework for promoting equitable access to our documentary heritage. The National Mission for Manuscripts is the most important institution in India creating bibliographic databases of manuscripts and engaged in the conservation and preservation of valuable manuscripts. This report engages with the legal and policy framework which envelops the lifecycle of the Mission’s work: the process of access to manuscripts, digitization of manuscripts and the creation of databases. By critically examining the legal rules in the practical context of the Mission’s work, the research team has put together the first such review of any such initiative in the protection of traditional knowledge in the country. The conclusions of the report are in the form of draft legal agreements and policy recommendations located in the discussion on various parts of the Mission’s work. While this report does not set out to be the final word on these significant policy initiatives, the report definitely makes significant progress in the policy debate and legal literature in this field. This report illustrates working patterns of the Mission within the legal and policy framework in the Country. This report will be a valuable sourcebook for understanding South Asian legal and policy framework for accessing documentary heritage collections. The draft legal agreements and policy recommendations, presented in this report, will also be valuable intervention tools for South Asian countries that share similar legal and policy framework within the sub-region

Viewpoint | Personal Data and the Internet of Things: It is time to care about digital provenance

The Internet of Things promises a connected environment reacting to and addressing our every need, but based on the assumption that all of our movements and words can be recorded and analysed to achieve this end. Ubiquitous surveillance is also a precondition for most dystopian societies, both real and fictional. How our personal data is processed and consumed in an ever more connected world must imperatively be made transparent, and more effective technical solutions than those currently on offer, to manage personal data must urgently be investigated.Comment: 3 pages, 0 figures, preprint for Communication of the AC