Assume but Verify: Deductive Verification of Leaked Information in Concurrent Applications

Author:

Murray Toby1ORCID,Tiwari Mukesh2ORCID,Ernst Gidon3ORCID,Naumann David A.4ORCID

Affiliation:

1. University of Melbourne, Melbourne, VIC, Australia

2. University of Cambridge, Cambridge, United Kingdom

3. LMU Munich, Munich, Germany

4. Stevens Institute of Technology, Hoboken, NJ, USA

Funder

Office of Naval Research Global

NSF (National Science Foundation)

Defence Science and Technology Group

Publisher

ACM

Reference79 articles.

1. Martin Abadi Andy Chu Ian Goodfellow H Brendan McMahan Ilya Mironov Kunal Talwar and Li Zhang. 2016. Deep learning with differential privacy. In ACM CCS. 308--318.

2. José Bacelar Almeida Manuel Barbosa Gilles Barthe François Dupressoir and Michael Emmi. 2016. Verifying constant-time implementations. In USENIX Security. 53--70.

3. Tiago Alves and Don Felton. 2004. TrustZone: Integrated Hardware and Software Security, White Paper. ARM, July (2004).

4. Miguel E. Andrés Nicolás E. Bordenabe Konstantinos Chatzikokolakis and Catuscia Palamidessi. 2013. Geo-Indistinguishability: Differential Privacy for Location-Based Systems. In ACM CCS. 901--914.

5. Aslan Askarov and Stephen Chong. 2012. Learning is change in knowledge: Knowledge-based security for dynamic policies. In IEEE CSF. 308--322.

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