Zobrazeno 1 - 10
of 1 314
pro vyhledávání: '"Srinivas Devadas"'
Autor:
Axel Feldmann, Nikola Samardzic, Aleksandar Krastev, Srinivas Devadas, Ron Dreslinski, Chris Peikert, Daniel Sanchez
Publikováno v:
IEEE Micro. 42:59-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79ca9329f62e135b7f2f4ec45e0281f4
https://doi.org/10.1109/mm.2022.3170792
https://doi.org/10.1109/mm.2022.3170792
Publikováno v:
Proceedings 2023 Network and Distributed System Security Symposium.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4937daf067d81c61514542b5e67d4890
https://doi.org/10.14722/ndss.2023.23088
https://doi.org/10.14722/ndss.2023.23088
Publikováno v:
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2301c4b4e77aaa21e9298a9e520954b4
https://doi.org/10.1145/3548606.3559393
https://doi.org/10.1145/3548606.3559393
Autor:
Nikola Samardzic, Axel Feldmann, Aleksandar Krastev, Nathan Manohar, Nicholas Genise, Srinivas Devadas, Karim Eldefrawy, Chris Peikert, Daniel Sanchez
Publikováno v:
Proceedings of the 49th Annual International Symposium on Computer Architecture.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fb39526a7c58e821a547c0c602076d
https://doi.org/10.1145/3470496.3527393
https://doi.org/10.1145/3470496.3527393
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bf864840d9cac6af2992c00a1405fd4
https://doi.org/10.1145/3514221.3517851
https://doi.org/10.1145/3514221.3517851
Autor:
Thomas Bourgeat, Sabrina M. Neuman, Scott Kuindersma, Brian Plancher, Vijay Janapa Reddi, Srinivas Devadas
Publikováno v:
IEEE Robotics and Automation Letters. 6:2335-2342
Computing the gradient of rigid body dynamics is a central operation in many state-of-the-art planning and control algorithms in robotics. Parallel computing platforms such as GPUs and FPGAs can offer performance gains for algorithms with hardware-co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d778efb6334e11dc7a045e48443f044
https://doi.org/10.1109/lra.2021.3057845
https://doi.org/10.1109/lra.2021.3057845
Publikováno v:
2022 IEEE Symposium on Security and Privacy (SP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2ff54fbd76e728f4f92c9ef8f71bc83
https://doi.org/10.1109/sp46214.2022.9833702
https://doi.org/10.1109/sp46214.2022.9833702
Publikováno v:
Proceedings of the VLDB Endowment. 14:189-201
Existing single-stream logging schemes are unsuitable for in-memory database management systems (DBMSs) as the single log is often a performance bottleneck. To overcome this problem, we present Taurus, an efficient parallel logging scheme that uses m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::692c473190720a3e0115e8194f1aec33
https://doi.org/10.14778/3425879.3425889
https://doi.org/10.14778/3425879.3425889
Autor:
Srinivas Devadas, Marten van Dijk, Christopher W. Fletcher, Ling Ren, Xiangyao Yu, Elaine Shi, Emil Stefanov
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 39:1572-1576
Path oblivious RAM (ORAM) is an ORAM protocol that simultaneously enjoys simplicity and efficiency. As a result, it holds promise to provide cryptographic-grade and practical access pattern protection in multiple application domains, including but no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39ea5c28bbd1228eacf5a6864c909d37
https://doi.org/10.1109/tcad.2019.2925398
https://doi.org/10.1109/tcad.2019.2925398
Autor:
Chenglu Jin, Charles Herder, Ling Ren, Phuong Ha Nguyen, Benjamin Fuller, Srinivas Devadas, Marten van Dijk
Publikováno v:
Cryptography, Vol 1, Iss 3, p 23 (2017)
Herder et al. (IEEE Transactions on Dependable and Secure Computing, 2017) designed a new computational fuzzy extractor and physical unclonable function (PUF) challenge-response protocol based on the Learning Parity with Noise (LPN) problem. The prot
Externí odkaz:
https://doaj.org/article/2d26dc267c664d50bb7394bc69c90fac