Variability-aware training and self-tuning of highly quantized DNNs for analog PIM
Z. Deng, M. Orshansky. DATE 2022.
Power-based Attacks on Spatial DNN Accelerators
G. Li, M. Tiwari, and M. Orshansky. JETC 2022.
Horizontal side-channel vulnerabilities of post-quantum key exchange and encapsulation protocols
F. Aydin, A. Aysu, M. Tiwari, A Gerstlauer, M Orshansky. ACM Transactions on Embedded Computing Systems 2021.
Top Pick in Hardware and Embedded Security 2021
Lattice PUF: A strong physical unclonable function provably secure against machine learning attacks
Y. Wang, X Xi, M Orshansky. HOST 2020.
Training with multi-layer embeddings for model reduction
B. Ghaemmaghami, Z. Deng, B. Cho, L. Orshansky, A. Singh, M. Erez, M. Orshansky. arXiv 2020.
A strong subthreshold current array PUF resilient to machine learning attacks
H. Zhuang, X. Xi, N. Sun, M. Orshansky. TCAS 2019.
Securing AES against localized EM attacks through spatial randomization of dataflow
G Li, V Iyer, M Orshansky. HOST 2019.
Using power-anomalies to counter evasive micro-architectural attacks in embedded systems
S. Wei, A. Aysu, M. Orshansky, A. Gerstlauer, M Tiwari. HOST 2019. Best Paper Award Nomination
Re-keying with Strong PUFs: A New Approach to Side-Channel Security
X. Xi, A. Aysu and M. Orshansky. HOST 2018.
Side-Channel Vulnerabilities of Post-Quantum Key Exchange Protocols
A. Aysu, M. Tiwari, and M. Orshansky. HOST 2018. Best Paper Award Nomination
- Binary Ring-LWE Hardware with Power Side-Channel Countermeasures
A. Aysu, M. Orshansky, and M. Tiwari. Design Automation and Test in Europe (DATE) 2018.
- Efficient Helper Data Reduction in SRAM PUFs via Lossy Compression
Y. Wang and M. Orshansky. Design Automation and Test in Europe (DATE) 2018.
- Efficient Simulation of EM Side-Channel Attack Resilience
A. Kumar, C. Scarborough, A. Yilmaz and M. Orshansky. International Conference on Computer-Aided Design (ICCAD) 2017. Best Paper Award Nomination
- Strong Subthreshold Current Array PUF with 265 Challenge-Response Pairs Resilient to Machine Learning Attacks in 130nm CMOS
X. Xi, H. Zhang, N. Sun, and M. Orshansky. VLSI Circuits Symposium 2017.
- A sequence dependent challenge-response PUF using 28nm SRAM 6T bit cell
S. Jeloka, K. Yang, M. Orshansky, D. Sylvester, D. Blaauw. VLSI Circuits Symposium 2017.
- A new maskless debiasing method for lightweight physical unclonable functions
A. Aysu, W. Wang, P. Schaumont, and M. Orshansky. Hardware-Oriented Security and Trust (HOST) 2017.
randomness in sketching for efficient hardware implementation of machine learning applications
Y. Wang, C. Caramanis, and M. Orshansky. ICCAD 2016.
Monte Carlo Simulation Flow for SEU Analysis of Sequential Circuits
M. Li, Y. Wang, and M. Orshansky. DAC 2016.
PolyGP: Improving GP-Based Analog Optimization through Accurate High-Order Monomials
and Semidefinite Relaxation
Y. Wang, M. Orshansky, and C. Caramanis. DATE 2016.
Multiple Attempt Write Strategy for Low Energy STT-RAM
J. Park and M. Orshansky. GLSVLSI 2016.
Novel Power Grid Reduction Method based on L1 Regularization
Y. Wang, M. Li, X. Yi, Z. Song, M. Orshansky, and C. Caramanis. DAC 2015.
Variation-Tolerant Write Completion Circuit for Variable-Energy Write STT-RAM Architecture
Park, T. Zheng, M. Erez, and M. Orshansky. IEEE Transactions on VLSI 2015.
Multi-Level Approximate Logic Synthesis under General Error Constraints
J. Miao, A. Gerstlauer, and M. Orshansky. ICCAD 2015.
Enabling Efficient Analog Synthesis by Coupling Sparse Regression and Polynomial
Y. Wang, M. Orshansky, and C. Caramanis. DAC 2014.
Modeling and Optimization Techniques for Yield-Aware SRAM Post-Silicon Tuning
K. Singh, K. He, C. Caramanis, and M. Orshansky. IEEE Transactions on CAD 2014.
Methods for Joint Optimization of Mask and Design Targets for Improving Lithographic Process Window
S. Banerjee, K. B. Agarwal, S. Nassif, and M. Orshansky. SPIE
Journal of Micro/Nanolithography, MEMS, and MOEMS (JM3) 2013.
Timing-Error Acceptance for Design of Energy Efficient DCT/IDCT-Based Systems
K. He, Gerstlauer, and M. Orshansky IEEE
Transactions on Circuits and Systems for Video Technology 2013.
Approximate Logic Synthesis under General Error Magnitude and Frequency Constraints
J. Miao, A. Gerstlauer, and M. Orshansky. ICCAD 2013.
Variable-Energy Write STT-RAM Architecture with Bit-Wise Write-Completion Monitoring
T. Zheng, J. Park, M. Orshansky, and M. Erez. ISLPED 2013.
Approximate Computing: an Emerging Paradigm for Energy-Efficient Design
J. Han and M. Orshansky. European Test Symposium 2013.
Novel Strong PUF Based on Nonlinearity of MOSFET Subthreshold Operation
M. Kalyanaraman and M. Orshansky. HOST 2013. Best Paper Award Nomination.
Low-Energy Digital Filter Design Based on Controlled Timing Error Acceptance
K. He, A. Gerstlauer, and M. Orshansky. ISQED 2013.
Predictable Equation-Based Analog Optimization Based on Explicit Capture of Modeling Error Statistics
A. K. Singh, K. Ragab, M. Lok, C. Caramanis, and M. Orshansky. Transactions on CAD 2012.
Modeling and Synthesis of Quality-Energy Optimal Approximate Adder
J. Miao, K. He, A. Gerstlauer, and M. Orshansky. ICCAD 2012.
Low-Energy Signal Processing using Circuit-Level Timing-Error Acceptance
K. He, A. Gerstlauer, and M. Orshansky. ICICDT 2012.
Controlled Timing-Error Acceptance for Low Energy IDCT Design
K. He, A. Gerstlauer, and M. Orshansky. DATE 2011.
NBTI-Aware DVFS: A New Approach to Saving Energy and Increasing Processor Lifetime
M. Basoglu, M. Orshansky, and M. Erez. ISLPED 2010.
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