First keynote title: Accountability in Cloud Service Provision Ecosystems
Dr Siani Pearson is a principal research scientist in the Security and Cloud Lab, at HP Labs Bristol, which is HP’s European long term applied research centre. Her current research focuses on accountability, privacy and the cloud and she holds over 50 patents and is author or co-author of well over 100 papers and technical reports in these fields. Siani received an MA from Oxford University in logic, a PhD in artificial intelligence from the University of Edinburgh and was a Research Fellow at Cambridge University before joining HP in 1994. She is a Fellow of the British Computer Society, senior member of IEEE, a Certified Information Privacy Professional/Information Technology, CCSK certified and Vice President of the UK Chapter of the Cloud Security Alliance. She has been editor and co-author of books on Trusted Computing and on Privacy and Security for Cloud Computing. Siani is currently the scientific lead of a major European research project on Accountability for the Cloud (A4Cloud) and is a member of: the steering committees of CSA GRC Stack; HP Privacy and Data Protection Board; HP cloud security WG; CSA Privacy WG; CSA OCF WG; IEEE Transactions on Cloud Computing Editorial Board; numerous programme committees, including being Program Chair of IEEE CloudCom 2014; the advisory boards of several universities and EU projects.
Abstract: In data protection regulation since the 1980s, accountability has
been used in the sense that the ‘data controller’ is responsible for
complying with particular data protection legislation and, in most cases, is
required to establish systems and processes which aim at ensuring such
compliance. This presentation assesses this notion in the context of cloud
computing, and describes how better and more systematic accountability might
be provided.
Second keynote title: Differential Privacy: Now it’s Getting Personal
David Sands is Professor of Computer Science, Department of Computer Science &
Engineering, Chalmers University of Technology, Gothenburg, Sweden.
David Sands (PhD, Imperial College 1990), Professor of Computer Science
since 2001 at Chalmers University of Technology in Sweden. His main research
areas are Programming Languages, Computer Security, and their combination.
He leads the ProSec research group (Programming Language Based Methods for
Security).
Abstract: Differential privacy has recently grabbed the attention of many privacy researchers. It provides a way to get useful information about sensitive data without revealing much about any one individual. It enjoys many nice compositionality properties not shared by other approaches to privacy, including, in particular, robustness against side-knowledge.
Designing differentially private mechanisms from scratch can be a challenging task. One way to make it easier to construct new differential private mechanisms is to design a system which allows more complex mechanisms (programs) to be built from differentially private building blocks in principled way, so that the resulting programs are guaranteed to be differentially private by construction.
In this talk I will describe a new accounting principle for building differentially private programs. It is based on a simple generalisation of classic differential privacy which we call Personalised Differential Privacy, in which each individual has its own personal privacy budget. We will describe how this can be implemented in an interactive query system using the concept of lineage tracing from database theory.
(Joint work with Hamid Ebadi and Gerardo Schneider)
