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Ye Wang 0014
Person information
- affiliation: University of Texas at Austin, Department of Electrical and Computer Engineering, Austin, TX, USA
Other persons with the same name
- Ye Wang — disambiguation page
- Ye Wang 0001
— Mitsubishi Electric Research Laboratories, Cambridge, MA, USA (and 1 more)
- Ye Wang 0002
- Ye Wang 0003
- Ye Wang 0004
- Ye Wang 0005
- Ye Wang 0006
- Ye Wang 0007
- Ye Wang 0008
- Ye Wang 0009
- Ye Wang 0010
- Ye Wang 0011
- Ye Wang 0012
- Ye Wang 0013
- Ye Wang 0015
- Ye Wang 0016
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2020 – today
- 2023
- [j1]Xiaodan Xi
A Provably Secure Strong PUF Based on LWE: Construction and Implementation. IEEE Trans. Computers 72(2): 346-359 (2023) - [i2]Xiaodan Xi, Ge Li, Ye Wang, Yeonsoo Jeon, Michael Orshansky:
A Provably Secure Strong PUF based on LWE: Construction and Implementation. CoRR abs/2303.02802 (2023) - 2020
- [c8]Ye Wang, Xiaodan Xi
Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks. HOST 2020: 273-283
2010 – 2019
- 2019
- [i1]Ye Wang, Xiaodan Xi, Michael Orshansky:
Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks. CoRR abs/1909.13441 (2019) - 2018
- [c7]Ye Wang, Michael Orshansky:
Efficient helper data reduction in SRAM PUFs via lossy compression. DATE 2018: 1453-1458 - 2017
- [c6]Aydin Aysu, Ye Wang, Patrick Schaumont
A new maskless debiasing method for lightweight physical unclonable functions. HOST 2017: 134-139 - 2016
- [c5]Meng Li, Ye Wang, Michael Orshansky:
A Monte Carlo simulation flow for SEU analysis of sequential circuits. DAC 2016: 44:1-44:6 - [c4]Ye Wang, Constantine Caramanis, Michael Orshansky:
PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. DATE 2016: 1423-1428 - [c3]Ye Wang, Constantine Caramanis
Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. ICCAD 2016: 114 - 2015
- [c2]Ye Wang, Meng Li, Xinyang Yi, Zhao Song, Michael Orshansky, Constantine Caramanis
Novel power grid reduction method based on L1 regularization. DAC 2015: 93:1-93:6 - 2014
- [c1]Ye Wang, Michael Orshansky, Constantine Caramanis
Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. DAC 2014: 164:1-164:6
Coauthor Index
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