@COMMENT This file was generated by bib2html.pl <https://sourceforge.net/projects/bib2html/> version 0.94
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@inproceedings{BEHLMQ18,
	title={Scalable Approximation of Quantitative Information Flow in Programs},
	author={Biondi, Fabrizio and Enescu, Michael and Heuser, Annelie and Legay, Axel and Meel, Kuldeep S. and Quilbeuf, Jean},
	booktitle=VMCAI,
	year={2018},
	month=jan,
		  bib2html_rescat={Software Engineering},
	abstract={Quantitative information flow measurement techniques have
	been proven to be successful in detecting leakage of confidential information
	from programs. Modern approaches are based on formal methods,
	relying on program analysis to produce a SAT formula representing the
	program's behavior, and model counting to measure the possible information
	flow. However, while program analysis scales to large codebases
	like the OpenSSL project, the formulas produced are too complex for
	analysis with precise model counting. In this paper we use the approximate
	model counter ApproxMC2 to quantify information flow. We show
	that ApproxMC2 is able to provide a large performance increase for a very
	small loss of precision, allowing the analysis of SAT formulas produced
	from complex code. We call the resulting technique ApproxFlow and test it
	on a large set of benchmarks against the state of the art. Finally, we show
	that ApproxFlow can evaluate the leakage incurred by the Heartbleed
	OpenSSL bug, contrarily to the state of the art.},
	bib2html_dl_pdf={../Papers/vmcai18.pdf},
	bib2html_pubtype={Refereed Conference},
}