Výsledky vyhledávání - "Emmanuel Stapf"

With Great Complexity Comes Great Vulnerability: From Stand-Alone Fixes to Reconfigurable Security

Autor: Emmanuel Stapf, Ghada Dessouky, Ahmad-Reza Sadeghi, Tommaso Frassetto, Patrick Jauernig

Publikováno v: IEEE Security & Privacy. 18:57-66

The increasing complexity of modern computing devices has rendered security architectures vulnerable to recent side-channel and transient-execution attacks. We discuss the most relevant defenses as well as their drawbacks and how to overcome them for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::096f8dba55cae454774046ab23da0c54
https://doi.org/10.1109/msec.2020.2994978

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Trusted Execution Environments: Properties, Applications, and Challenges

Autor: Patrick Jauernig, Emmanuel Stapf, Ahmad-Reza Sadeghi

Publikováno v: IEEE Security & Privacy. 18:56-60

Software attacks on modern computer systems have been a persisting challenge for several decades, leading to a continuous arms race between attacks and defenses. As a first line of defense, operating system kernels enforce process isolation to limit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::51c9e227b0a56c2ed7720e4c76870278
https://doi.org/10.1109/msec.2019.2947124

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Distributed Memory Guard: Enabling Secure Enclave Computing in NoC-based Architectures

Autor: Pouya Mahmoody, Shaza Zeitouni, Emmanuel Stapf, Michel A. Kinsy, Ahmad-Reza Sadeghi, Ghada Dessouky, Mihailo Isakov, Miguel Mark

Publikováno v: DAC

Emerging applications, like cloud services, are demanding more computational power, while also giving rise to various security and privacy challenges. Current multi-/many-core chip designs boost performance by using Networks-on-Chip (NoC) based archi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4270ea25a50c79f62289db02a8dfdf57
https://doi.org/10.1109/dac18074.2021.9586222

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In Hardware We Trust? From TPM to Enclave Computing on RISC-V

Autor: Patrick Jauernig, Ahmad-Reza Sadeghi, Emmanuel Stapf, Ferdinand Brasser

Publikováno v: VLSI-SoC

System-on-Chip platforms have been increasingly extended with trusted computing functionality to provide strong protection for sensitive software applications through enclaves that only require trust in the hardware and minimal software components. H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::584acbd516cb6c71bd104cdd25093d09
https://doi.org/10.1109/vlsi-soc53125.2021.9606968

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INVITED: AI Utopia or Dystopia - On Securing AI Platforms

Autor: Patrick Jauernig, Emmanuel Stapf, Nele Mentens, Ahmad-Reza Sadeghi, Ghada Dessouky

Publikováno v: DAC

Today we are witnessing the widespread deployment of AI algorithms on many computing platforms already to provide various services, thus driving the growing market for AI-based platforms. On the one end, AI support is demanded for resource-constraine

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4790a765e28ed01e1596e232c2607462
https://doi.org/10.1109/dac18072.2020.9218490

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On the Security of Strong Memristor-based Physically Unclonable Functions

Autor: Hossein Fereidooni, Ahmad-Reza Sadeghi, Shaza Zeitouni, Emmanuel Stapf

Publikováno v: DAC

PUFs are cost-effective security primitives that extract unique identifiers from integrated circuits. However, since their introduction, PUFs have been subject to modeling attacks based on machine learning. Recently, researchers explored emerging nan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dcd7ae0ac48dd9a82d05e882ef573994
https://doi.org/10.1109/dac18072.2020.9218491

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Developing Privacy-preserving AI Systems: The Lessons learned

Autor: Rosario Cammarota, Huili Chen, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Emmanuel Stapf, Siam U. Hussain, Fabian Boemer

Publikováno v: DAC

Advances in customers' data privacy laws create pressures and pain points across the entire lifecycle of AI products. Working figures such as data scientists and data engineers need to account for the correct use of privacy-enhancing technologies suc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1d6c1b102b14b33ad14f75cd00d2a1f9
https://doi.org/10.1109/dac18072.2020.9218662

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In Hardware We Trust: Gains and Pains of Hardware-assisted Security

Autor: Patrick Jauernig, Emmanuel Stapf, Ahmad-Reza Sadeghi, Lejla Batina, Nele Mentens

Publikováno v: DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019, Las Vegas, NV, USA — June 02-06, 2019, 1-4. New York : ACM
STARTPAGE=1;ENDPAGE=4;TITLE=DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019, Las Vegas, NV, USA — June 02-06, 2019
DAC
DAC '19: Proceedings of the 56th Annual Design Automation Conference 2019, Las Vegas, NV, USA — June 02-06, 2019, pp. 1-4

Data processing and communication in almost all electronic systems are based on Central Processing Units (CPUs). In order to guarantee confidentiality and integrity of the software running on a CPU, hardware-assisted security architectures are used.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::398bdf31e79af6b4e143442555789600
http://hdl.handle.net/2066/204493

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