The workshop seeks to bring together experts and practitioners from academia, industry and government to discuss open research problems, case studies, and legal and policy issues related to inference and privacy. Authors are invited to submit either:
- Full research papers that present relatively mature research results on topics related to data analysis /statistical inference and privacy/data protection;
- Short papers that discuss new attacks and inspiring visions for countermeasures, or present interdisciplinary research related to case studies and legal and policy issues; or
- Industry papers that share practical experiences.
Papers must be written in English. Authors are required to follow LNCS guidelines. The length of the full paper (in the proceedings format) must not exceed 20 pages, including the bibliography and well-marked appendices. Short papers and industry papers must not exceed 12 pages. PC members are not required to read the appendices, and so the paper should be intelligible without them.
Papers are to be submitted electronically and in pdf format only using the EasyChair conference management system (https://www.easychair.org/conferences/?conf=infer2016).
It is planned to publish revised selected papers as a post-proceedings volume in Springer Verlag’s LNCS series (final approval pending).