Publications
2020
M Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
"HEAX: An Architecture for Computing on Encrypted Data"
ACM ASPLOS 2020
Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya Razenshteyn, M Sadegh Riazi (Alphabetical Order)
"SANNS: Scaling up Secure Approximate k-Nearest Neighbors Search"
USENIX Security 2020
Siam U Hussain, M Sadegh Riazi, Farinaz Koushanfar
"The Fusion of Secure Function Evaluation and Logic Synthesis"
IEEE Security and Privacy (S&P) Magazine 2020
M Sadegh Riazi, Seyed M Chavoshian, Farinaz Koushanfar
"SynFi: Automatic Synthetic Fingerprint Generation"
IEEE DAC (WiP) 2020
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
2018
Hao Chen, Ilaria Chillotti, Oxana Poburinnaya, Ilya Razenshteyn, M. Sadegh Riazi
"Scaling Up Secure Nearest Neighbor Search"
NeurIPS 2018 | Workshop on Privacy-Preserving Machine Learning
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"
ACM 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