[TYPES/announce] Theory and Practice of Differential Privacy - TPDP 2015 - Call for participation

[Marco Gaboardi (Staff)]

CALL FOR PARTICIPATION
TPDP 2015
First workshop on the Theory and Practice of Differential Privacy
18th April 2015, London, UK
Affiliated to ETAPS
http://tpdp.computing.dundee.ac.uk

Differential privacy is a promising approach to the privacy-preserving
release of data: it offers a strong guaranteed bound on the increase
in harm that a user incurs as a result of participating in a
differentially private data analysis.

Researchers in differential privacy come from several area of computer
science as algorithms, programming languages, security, databases,
machine learning, as well as from several areas of statistics and data
analysis. The workshop is intended to be an occasion for researchers
from these different research areas to discuss the recent developments
in the theory and practice of differential privacy.

**Registration**

Via the ETAPS Registration website
http://www.etaps.org/index.php/2015/registration

Normal-rate registration is until Tuesday, 10 March 2015.

**Invited Speakers**

Jonathan Ullman - Simons Fellow at Columbia University

Emiliano De Cristofaro  - University College London

**Talks**

Differential Indistinguishability: Cryptography with Imperfect Randomness,
Michael Backes, Aniket Kate, Sebastian Meiser and Tim Ruffing.

Between Pure and Approximate Differential Privacy,
Thomas Steinke and Jonathan Ullman.

Efficient Use of Differentially Private Binary Trees,
James Honaker.

AnoA: A Differential Anonymity Framework,
Michael Backes, Aniket Kate, Praveen Manoharan, Sebastian Meiser and Esfandiar Mohammadi.

Dual Query: Practical Private Query Release for High Dimensional Data
Zhiwei Steven Wu, Aaron Roth, Justin Hsu, Marco Gaboardi and Emilio Jesús Gallego Arias.

wPINQ: Differentially-Private Analysis of Weighted Datasets,
Davide Proserpio.

Featherweight PINQ,
Hamid Ebadi and David Sands.

Personalised Differential Privacy,
Hamid Ebadi and David Sands.

Heterogeneous differential privacy,
Mohammad Alaggan, Sebastien Gambs and Anne-Marie Kermarrec.

Gradually Releasing Private Data under Differential Privacy,
Fragkiskos Koufogiannis, Shuo Han and George Pappas.

The University of Dundee is a registered Scottish Charity, No: SC015096