Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial Optimization. - Ye Wang 014; Michael Orshansky; Constantine Caramanis (DAC, 2014)

Novel power grid reduction method based on L1 regularization. - Ye Wang 014; Meng Li 004; Xinyang Yi; Zhao Song 002; Michael Orshansky; Constantine Caramanis (DAC, 2015)

A Monte Carlo simulation flow for SEU analysis of sequential circuits. - Meng Li 004; Ye Wang 014; Michael Orshansky (DAC, 2016)

PolyGP: Improving GP-based analog optimization through accurate high-order monomials and semidefinite relaxation. - Ye Wang 014; Constantine Caramanis; Michael Orshansky (DATE, 2016)

Exploiting randomness in sketching for efficient hardware implementation of machine learning applications. - Ye Wang 014; Constantine Caramanis; Michael Orshansky (ICCAD, 2016)

A new maskless debiasing method for lightweight physical unclonable functions. - Aydin Aysu; Ye Wang 014; Patrick Schaumont; Michael Orshansky (HOST, 2017)

Efficient helper data reduction in SRAM PUFs via lossy compression. - Ye Wang 014; Michael Orshansky (DATE, 2018)

Lattice PUF: A Strong Physical Unclonable Function Provably Secure against Machine Learning Attacks. - Ye Wang 014; Xiaodan Xi; Michael Orshansky (HOST, 2020)

A Provably Secure Strong PUF based on LWE: Construction and Implementation. - Xiaodan Xi; Ge Li 005; Ye Wang 014; Yeonsoo Jeon; Michael Orshansky (CoRR, 2023)

A Provably Secure Strong PUF Based on LWE: Construction and Implementation. - Xiaodan Xi; Ge Li 005; Ye Wang 014; Michael Orshansky (IEEE Trans. Computers, 2023)