Publications

2019

  • Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels

"Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms"

ACM CCS 2019

  • Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing

"A Framework for Collaborative Learning in Secure High-Dimensional Space"

IEEE Cloud Computing (CLOUD) 2019 | Acceptance rate: 14.3%

  • M Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin Lauter, Farinaz Koushanfar

"XONN: XNOR-based Oblivious Deep Neural Network Inference"

USENIX Security 2019 | Acceptance rate: 9.8%

  • Ebrahim M Songhori, M Sadegh Riazi, Siam U Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar

"ARM2GC: Succinct Garbled Processor for Secure Computation"

ACM DAC 2019

  • M Sadegh Riazi, Mojan Javaheripi, Siam U Hussain, Farinaz Koushanfar

"MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation"

IEEE HOST 2019

  • M Sadegh Riazi, Bita Darvish Rouhani, Farinaz Koushanfar

"Deep Learning on Private Data"

IEEE Security and Privacy (S&P) Magazine 2019

2019 (preprint)

  • M Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai

"HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud"

arXiv, 2019

  • Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya Razenshteyn, M Sadegh Riazi

"SANNS: Scaling up Secure Approximate k-Nearest Neighbors Search"

arXiv, 2019

  • Siam U Hussain, M Sadegh Riazi, Farinaz Koushanfar

"The Fusion of Secure Function Evaluation and Logic Synthesis"

eprint, 2019

2018

  • Hao Chen, Ilaria Chillotti, Oxana Poburinnaya, Ilya Razenshteyn, M. Sadegh Riazi

"Scaling Up Secure Nearest Neighbor Search"

NeurIPS 2018 Workshop

  • M Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M Songhori, Thomas Schneider, Farinaz Koushanfar

"Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications"

AsiaCCS 2018 | Among top 0.1% most cited papers in computer science in 2018

  • M Sadegh Riazi and Farinaz Koushanfar

"Privacy-Preserving Deep Learning and Inference"

ICCAD 2018 | Invited Paper

  • Bita Darvish Rouhani, M Sadegh Riazi, Farinaz Koushanfar

"DeepSecure: Scalable Provably-Secure Deep Learning"

DAC 2018 | Among top 0.1% most cited papers in computer science in 2018

  • Siam U Hussain, M Sadegh Riazi, Farinaz Koushanfar

"SHAIP: Secure Hamming Distance for Authentication of Intrinsic PUFs"

TODAES 2018

2017

  • M Sadegh Riazi, Mohammad Samragh, Farinaz Koushanfar

"CAMsure: Secure Content-Addressable Memory for Approximate Search"

CODES 2017 | Nominated for the best paper award

  • M Sadegh Riazi, Beidi Chen, Anshumali Shrivastava, Dan Wallach, Farinaz Koushanfar

"Sub-Linear Privacy-Preserving Near-Neighbor Search"

arXiv 2017

  • M Sadegh Riazi, Ebrahim M Songhori, Farinaz Koushanfar

"PriSearch: Efficient Search on Private Data"

DAC 2017

  • M Sadegh Riazi, Ebrahim M Songhori, Ahmad-Reza Sadeghi, Thomas Schneider, Farinaz Koushanfar

"Toward Practical Secure Stable Matching"

PoPETs 2017

2016

  • M. Sadegh Riazi, Neeraj K. R. Dantu, L. N. Vinay Gattu, Farinaz Koushanfar

"GenMatch: Secure DNA Compatibility Testing"

HOST 2016