Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Bita Darvish Rouhani"'
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 11:575-585
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcf0578388ef17605bbcaa044742a6ea
https://doi.org/10.1109/jetcas.2021.3125309
https://doi.org/10.1109/jetcas.2021.3125309
Publikováno v:
IEEE Design & Test. 38:31-38
Editor’s note: This article describes DeepFense, a framework to make deep learning models automatically and efficiently realizable on constrained devices. — Rosario Cammarota, Intel Labs — Francesco Regazzoni, University of Amsterdam and Univer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd03aff49ad3c0c26329d82af130e1d0
https://doi.org/10.1109/mdat.2021.3063344
https://doi.org/10.1109/mdat.2021.3063344
Publikováno v:
IEEE Transactions on Dependable and Secure Computing. 18:736-752
Recent advances in adversarial Deep Learning (DL) have opened up a new and largely unexplored surface for malicious attacks jeopardizing the integrity of autonomous DL systems. This article introduces CuRTAIL, a novel end-to-end computing framework t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8701d70cea9dfe9c9619063ae385d99d
https://doi.org/10.1109/tdsc.2020.3024191
https://doi.org/10.1109/tdsc.2020.3024191
Autor:
Bita Darvish Rouhani
Publikováno v:
Proceedings of the 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0077fa069cf5060583156202d877a0ed
https://doi.org/10.1145/3384493
https://doi.org/10.1145/3384493
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 11:1-21
Artificial Intelligence (AI) is increasingly incorporated into the cloud business in order to improve the functionality (e.g., accuracy) of the service. The adoption of AI as a cloud service raises serious privacy concerns in applications where the r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9542e8515a21794b4d72975db56fc319
https://doi.org/10.1145/3242899
https://doi.org/10.1145/3242899
Autor:
Friedel van Megen, Oren Firestein, Bita Darvish Rouhani, Mahdi Ghandi, Christian Boehn, Prerak Patel, Kara Kagi, Hari Angepat, Doug Burger, Brandon Perez, Raja Seera, Tamas Juhasz, Jeremy Fowers, Shlomi Alkalay, Logan Adams, Gabriel Weisz, Balaji Sridharan, Sangeetha Shekar, Kyle Holohan, Ritchie Zhao, Amanda Rapsang, Ahmad M. El Husseini, Adam Sapek, Todd Massengill, Kalin Ovtcharov, Sitaram Lanka, Dan Zhang, Michael K. Papamichael, Derek Chiou, Lo Daniel, Michael Haselman, Lisa Woods, Kang Su Gatlin, Maleen Abeydeera, Phillip Yi Xiao, Steven K. Reinhardt, Adrian M. Caulfield, Eric S. Chung, Alessandro Forin, Stephen F. Heil, Ratna Kumar Kovvuri, Dima Mukhortov, Ming Liu
Publikováno v:
IEEE Micro. 38:8-20
To meet the computational demands required of deep learning, cloud operators are turning toward specialized hardware for improved efficiency and performance. Project Brainwave, Microsofts principal infrastructure for AI serving in real time, accelera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06234ab71359683ab5a29f25bae89139
https://doi.org/10.1109/mm.2018.022071131
https://doi.org/10.1109/mm.2018.022071131
Publikováno v:
ACM Transactions on Embedded Computing Systems. 16:1-18
This paper proposes RISE, an automated Reconfigurable framework for real-time background subtraction applied to Intelligent video SurveillancE. RISE is devised with a new streaming-based methodology that adaptively learns/updates a corresponding dict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9eef7a060c90c7d94b1e7308c498e016
https://doi.org/10.1145/3126549
https://doi.org/10.1145/3126549
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 10:1-22
We propose SSketch, a novel automated framework for efficient analysis of dynamic big data with dense (non-sparse) correlation matrices on reconfigurable platforms. SSketch targets streaming applications where each data sample can be processed only o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2f852a533e6743aaebbf2a1a19629fa
https://doi.org/10.1145/2974023
https://doi.org/10.1145/2974023
Publikováno v:
ISCA
Emerging hardware architectures for Deep Neural Networks (DNNs) are being commercialized and considered as the hardware- level Intellectual Property (IP) of the device providers. However, these intelligent devices might be abused and such vulnerabili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::882462e512be7ec9e92b65f378a79646
https://doi.org/10.1145/3307650.3322251
https://doi.org/10.1145/3307650.3322251
Publikováno v:
ICMR
Deep Neural Networks (DNNs) are revolutionizing various critical fields by providing an unprecedented leap in terms of accuracy and functionality. Due to the costly training procedure, high-performance DNNs are typically considered as the Intellectua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0145289b77e1a81ec9e2140ce096d886
https://doi.org/10.1145/3323873.3325042
https://doi.org/10.1145/3323873.3325042