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David Molnar

Researcher at University of Szeged

Publications -  145
Citations -  8913

David Molnar is an academic researcher from University of Szeged. The author has contributed to research in topics: Augmented reality & Geology. The author has an hindex of 36, co-authored 135 publications receiving 8193 citations. Previous affiliations of David Molnar include University of California, Berkeley & Royal Institute of Technology.

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Proceedings Article

Automated Whitebox Fuzz Testing.

TL;DR: This work presents an alternative whitebox fuzz testing approach inspired by recent advances in symbolic execution and dynamic test generation, and implemented this algorithm in SAGE (Scalable, Automated, Guided Execution), a new tool employing x86 instruction-level tracing and emulation for white box fuzzing of arbitrary file-reading Windows applications.
Proceedings ArticleDOI

Privacy and security in library RFID: issues, practices, and architectures

TL;DR: Privacy issues related to Radio Frequency Identification in libraries are exposed, current deployments are described, and a simple scheme is given that provides security against a passive eavesdropper using XOR alone, without pseudo-random functions or other heavy crypto operations.
Journal ArticleDOI

SAGE: whitebox fuzzing for security testing

TL;DR: If you are reading these lines on a PC running some form of Windows, then you have been affected by this line of work--without knowing it, which is precisely the way the authors want it to be.
Book ChapterDOI

Homomorphic Signature Schemes

TL;DR: In this article, the authors introduce basic definitions of security for homomorphic signature systems, motivate the inquiry with example applications, and describe several schemes that are homomorphic with respect to useful binary operations.
Proceedings ArticleDOI

Security and Privacy Issues in E-passports

TL;DR: In this paper, the privacy and security issues of the International Civil Aviation Organization (ICAO) standard for e-passports have been analyzed in the context of next-generation ID cards.