Michael Orshansky

Professor, John E. Kasch Endowed Faculty Fellow
Department of Electrical and Computer Engineering
The University of Texas at Austin

2501 Speedway, EER 4.814, Austin, TX, 78712
(512) 471-1082, orshansky@utexas.edu

Research

My recent research centers on hardware security, ML algorithm and hardware codesign, and approximate computing.

Teaching

• Fall 2026: EE 382V: ML Hardware-Algorithm Codesign
• Spring 2026: EE316: Digital Logic Design
• Fall 2024: EE382M: Design for Low Power and Robustness

Advising

• Policies related to M.S. degrees in ICS can be found in the ICS Graduate Advising Notes

Select publications

• EntroLLM: Entropy Encoded Weight Compression for Efficient Large Language Model Inference on Edge Devices
  A Sanyal, G Datta, P Mukherjee, SP Chinchali, M Orshansky 2025.
• Mixed-Precision Quantization for Deep Vision Models with Integer Quadratic Programming
  Z Deng, S Sharify, X Wang, M Orshansky. DAC 2025.
• Variability-aware training and self-tuning of highly quantized DNNs for analog PIM
  Z. Deng and 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