Privacy engineering research is emerging as an important topic. Engineers are increasingly expected to build and maintain privacy-preserving and data-protection compliant systems in different ICT domains such as health, energy, transportation, social computing, law enforcement, public services; based on different infrastructures such as cloud, grid, or mobile computing and architectures. While there is a consensus on the benefits of an engineering approach to privacy, concrete proposals for models, methods, techniques and tools that support engineers and organizations in this endeavor are few and in need of immediate attention.

To cover this gap, the topics of the International Workshop on Privacy Engineering (IWPE'17) focus on all the aspects surrounding privacy engineering, ranging from its theoretical foundations, engineering approaches, and support infrastructures, to its practical application in projects of different scale. Specifically, we are seeking the following kinds of papers: (1) technical papers that illustrate the engineering or application of a novel formalism, method or other research finding (e.g., a privacy enhancing protocol) with preliminary evaluation; (2) experience and practice papers that describe a case study, challenge or lessons learned from in a specific domain; (3) early evaluations of tools and other infrastructure that support engineering tasks in privacy requirements, design, implementation, testing, etc.; (4) interdisciplinary studies or critical reviews of existing privacy engineering concepts, methods, tools and frameworks; or (5) vision papers that take a clear position informed by evidence based on a thorough literature review.

IWPE’17 welcomes papers that focus on novel solutions on the recent developments in the general area of privacy engineering. Topics of interests include, but are not limited to:
-Integrating law and policy compliance into the development process
-Privacy impact assessment during software development
-Privacy risk management models
-Privacy breach recovery Methods
-Technical standards, heuristics and best practices for privacy engineering
-Privacy engineering in technical standards
-Privacy requirements elicitation and analysis methods
-User privacy and data protection requirements
-Management of privacy requirements with other system requirements
-Privacy requirements elicitation and analysis techniques
-Privacy engineering strategies and design patterns
-Privacy-preserving architectures
-Privacy engineering and databases, services, and the cloud
-Privacy engineering in networks
-Engineering techniques for fairness, transparency, and privacy in databases
-Privacy engineering in the context of interaction design and usability
-Privacy testing and evaluation methods
-Validation and verification of privacy requirements
-Privacy Engineering and design
-Engineering Privacy Enhancing Technologies (PETs)
-Integration of PETs into systems
-Models and approaches for the verification of privacy properties
-Tools and formal languages supporting privacy engineering
-Teaching and training privacy engineering
-Adaptations of privacy engineering into specific software development processes
-Pilots and real-world applications
-Evaluation of privacy engineering methods, technologies and tools
-Privacy engineering and accountability
-Privacy engineering and business processes
-Privacy engineering and manageability of data in (large) enterprises
-Organizational, legal, political and economic aspects of privacy engineering

This topic list is not meant to be exhaustive; since IWPE'17 is interested in all aspects of privacy engineering.