IACR News
Here you can see all recent updates to the IACR webpage. These updates are also available:
27 October 2016
Douglas Stebila, Michele Mosca
Mihir Bellare, Bertram Poettering, Douglas Stebila
Yossi Gilad, Omar Sagga, Sharo
Liqun Chen, Thalia M. Laing, Keith M. Martin
Katriel Cohn-Gordon, Cas Cremers, Benjamin Dowling, Luke Garratt, Douglas Stebila
We conduct the first security analysis of Signal's Key Agreement and Double Ratchet as a multi-stage key exchange protocol. We extract from the implementation a formal description of the abstract protocol, define a security model which can capture the ``ratcheting'' key update structure, and prove the security of Signal's core in our model. Our presentation and results can serve as a starting point for other analyses of this widely adopted protocol.
Damien Vergnaud
TU Eindhoven
The SODA project aims at enabling practical privacy-preserving analytics on Big Data. Our focus is on making the performance of multi-party computation techniques for privacy-preserving shared Big Data processing practical for real-world use cases, moving beyond the traditional privacy-utility trade-off. One of the central themes is combining privacy-preserving processing with rigorous bounds on the privacy leakage of aggregated data analytics results. A range of Big Data processing challenges needs to be addressed in this context. The successful Post-Doc candidate will be appointed with the Data Mining group and Ph.D. student with the Coding and Crypto group.
Requirements:
- solid background in Mathematics and/or Computer Science with specialization in cryptography (demonstrated by a relevant MSc)
- strong interest in cryptographic protocols and secure multi-party computation;
- experience with secure multiparty computation is a plus;
- experience with development of efficient data mining techniques is a plus.
Accepting applications until position is filled.
Closing date for applications: 18 November 2016
Contact: Berry Schoenmakers
TU Eindhoven
Department Mathematics and Computer Science
e-mail: berry (at) win.tue.nl
More information: http://jobs.tue.nl/en/vacancy/phd-student-in-the-h2020-soda-project-scalable-oblivious-data-analytics-284211.html
TU Eindhoven
The SODA project aims at enabling practical privacy-preserving analytics on Big Data. Our focus is on making the performance of multi-party computation techniques for privacy-preserving shared Big Data processing practical for real-world use cases, moving beyond the traditional privacy-utility trade-off. One of the central themes is combining privacy-preserving processing with rigorous bounds on the privacy leakage of aggregated data analytics results. A range of Big Data processing challenges needs to be addressed in this context. The successful Post-Doc candidate will be appointed with the Data Mining group and Ph.D. student with the Coding and Crypto group.
Requirements:
- solid background in Computer Science with specialization in data mining, machine learning or related areas (demonstrated
by a relevant PhD);
- strong interest in privacy-preserving analytics and secure multi-party computation;
- being enthusiastic about collaboration between data mining and crypto;
- experience with distributed data mining and streaming algorithms is a plus;
- hands on experience with development of efficient data mining techniques in a plus.
Closing date for applications: 11 November 2016
Contact: prof.dr. Mykola Pechenizkiy
TU Eindhoven
Department Mathematics and Computer Science
e-mail: m.pechenizkiy (at) tue.nl
More information: http://jobs.tue.nl/en/vacancy/postdoc-position-h2020-soda-project-scalable-oblivious-data-analytics-283849.html
26 October 2016
Jean-Sébastien Coron, Moon Sung Lee, Tancrède Lepoint, Mehdi Tibouchi
Yossi Gilad, Avichai Cohen, Haya Shulman, Amir Herzberg, Michael Schapira
Tobias Nilges
Most of these results are only concerned with the feasibility of resettable computation, while efficiency is secondary. There is a considerable gap in the round- and communication-efficiency between actively secure protocols and resettably secure protocols. Following the work of Goyal and Sahai (EUROCRYPT'09), we study the round- and communication-efficiency of resettable two-party computation in the setting where one of the two parties is resettable, and close the gap between the two notions of security:
- We construct a fully simulatable resettable CRS in the plain model that directly yields constant-round resettable zero-knowledge and constant-round resettable two-party computation protocols in the plain model.
- We present a new resettability compiler that follows the approach of Ishai, Prabhakaran and Sahai (CRYPTO'08) and yields constant-rate resettable two-party computation.
Jorge Munilla
Nicola Atzei, Massimo Bartoletti, Tiziana Cimoli
Aanchal Malhotra, Matthew Van Gundy, Mayank Varia, Haydn Kennedy, Jonathan Gardner, Sharon Goldberg
Subhadeep Banik, Andrey Bogdanov, Francesco Regazzoni
Stefan Dziembowski, Sebastian Faust, Francois-Xavier Standaert
Daniel Apon, Nico D\"{o}ttling, Sanjam Garg, Pratyay Mukherjee
We give examples of pairs of natural $\mathsf{NC}^1$ circuits, which -- when processed via Barrington's Theorem -- yield pairs of branching programs that are partially inequivalent. As a consequence we are also able to show examples of ``bootstrapping circuits,'' used to obtain obfuscations for all circuits (given an obfuscator for $\mathsf{NC}^1$ circuits), in certain settings also yield partially inequivalent branching programs. Prior to our work, no attacks on any obfuscation constructions for these settings were known.
Anders Smedstuen Lund, Martin Strand
23 October 2016
Florida Atlantic University, Boca Raton, FL
Closing date for applications: 1 January 2017
Contact: Dr. Reza Azarderakhsh at razarderakhsh (at) fau.edu.
McGill University, Department of Mathematics and Statistics
Department of Mathematics and Statistics
Tenure track position in Number Theory, McGill University
The Department of Mathematics and Statistics at McGill University invites applications for a tenure-track position in arithmetic geometry or automorphic forms, broadly interpreted. The Department expects to appoint at the Assistant Professor level, but more senior applicants will also be considered.
Candidates must have a doctoral degree at the date of appointment, and must have demonstrated excellence in mathematical research. They must also have the desire and potential to contribute to the educational programs of the Department at the graduate and undergraduate levels.
Applications should be made through MathJobs.Org (Position ID: NUMTH) and should include a curriculum vitae, a list of publications, a research outline, a teaching statement which includes an account of teaching experience, and at least four references (with one addressing the teaching record). Candidates are also encouraged to provide web links for up to three selected reprints or preprints, or to upload them to MathJobs.Org.
Candidates must ensure that letters of reference are submitted preferably through http://mathjobs.org, although in exceptional circumstances they may be emailed to numtheory.mathstat (at) mcgill.ca
Review of applications will begin on November 15 and will continue until the position has been filled. For further details or clarifications, please email numtheory.mathstat (at) mcgill.ca
McGill University is committed to diversity and equity in employment. It welcomes applications from: women, Aboriginal persons, persons with disabilities, ethnic minorities, persons of minority sexual orientation or gender identity, visible minorities, and others who may contribute to diversification. All qualified applicants are encouraged to apply; however, in accordance with Canadian immigration requirements, Canadians and permanent residents will be given priority.
Closing date for applications: 15 November 2016