Bita Darvish Rouhani
Orcid: 0000-0002-8412-4320
According to our database1,
Bita Darvish Rouhani
authored at least 45 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design.
IEEE Des. Test, 2024
2023
Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023
2021
IEEE Trans. Dependable Secur. Comput., 2021
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021
IEEE Des. Test, 2021
2020
Towards A Domain-Customized Automated Machine Learning Framework For Networks and Systems.
CoRR, 2020
Pushing the Limits of Narrow Precision Inferencing at Cloud Scale with Microsoft Floating Point.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models.
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
Proceedings of the 46th International Symposium on Computer Architecture, 2019
Proceedings of the International Conference on Computer-Aided Design, 2019
DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019
2018
ReDCrypt: Real-Time Privacy-Preserving Deep Learning Inference in Clouds Using FPGAs.
ACM Trans. Reconfigurable Technol. Syst., 2018
IEEE Micro, 2018
DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models.
IACR Cryptol. ePrint Arch., 2018
IACR Cryptol. ePrint Arch., 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
Proceedings of the International Conference on Computer-Aided Design, 2018
CausaLearn: Automated Framework for Scalable Streaming-based Causal Bayesian Learning using FPGAs.
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018
MAXelerator: FPGA accelerator for privacy preserving multiply-accumulate (MAC) on cloud servers.
Proceedings of the 55th Annual Design Automation Conference, 2018
2017
ACM Trans. Embed. Comput. Syst., 2017
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
Proceedings of the 54th Annual Design Automation Conference, 2017
2016
Automated Real-Time Analysis of Streaming Big and Dense Data on Reconfigurable Platforms.
ACM Trans. Reconfigurable Technol. Syst., 2016
IEEE Trans. Multi Scale Comput. Syst., 2016
Proceedings of the 2016 International Symposium on Low Power Electronics and Design, 2016
Perform-ML: performance optimized machine learning by platform and content aware customization.
Proceedings of the 53rd Annual Design Automation Conference, 2016
Going deeper than deep learning for massive data analytics under physical constraints.
Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, 2016
2015
Int. J. Enterp. Inf. Syst., 2015
Proceedings of the New Contributions in Information Systems and Technologies, 2015
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
SSketch: An Automated Framework for Streaming Sketch-Based Analysis of Big Data on FPGA.
Proceedings of the 23rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2015
2014
Proceedings of the New Perspectives in Information Systems and Technologies, 2014