2020
- “HEAX: An Architecture for Computing on Encrypted Data”
M Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
ACM ASPLOS 2020 - “SANNS: Scaling up Secure Approximate k-Nearest Neighbors Search“
Hao Chen, Ilaria Chillotti, Yihe Dong, Oxana Poburinnaya, Ilya Razenshteyn, M Sadegh Riazi (Alphabetical Order)
USENIX Security 2020 - “The Fusion of Secure Function Evaluation and Logic Synthesis“
Siam U Hussain, M Sadegh Riazi, Farinaz Koushanfar
IEEE Security and Privacy (S&P) Magazine 2020 - “SynFi: Automatic Synthetic Fingerprint Generation“
M Sadegh Riazi, Seyed M Chavoshian, Farinaz Koushanfar
IEEE DAC (WiP) 2020
2019
- “Multisketches: Practical Secure Sketches Using Off-the-Shelf Biometric Matching Algorithms”
Rahul Chatterjee, M. Sadegh Riazi, Tanmoy Chowdhury, Emanuela Marasco, Farinaz Koushanfar, Ari Juels
ACM CCS 2019 - “A Framework for Collaborative Learning in Secure High-Dimensional Space“
Mohsen Imani, Yeseong Kim, M. Sadegh Riazi, John Messerly, Patric Liu, Farinaz Koushanfar, Tajana Rosing
IEEE Cloud Computing (CLOUD) 2019 | Acceptance rate: 14.3% - “XONN: XNOR-based Oblivious Deep Neural Network Inference“
M Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin Lauter, Farinaz Koushanfar
USENIX Security 2019 | Acceptance rate: 9.8% - “ARM2GC: Succinct Garbled Processor for Secure Computation“
Ebrahim M Songhori, M Sadegh Riazi, Siam U Hussain, Ahmad-Reza Sadeghi, Farinaz Koushanfar
ACM DAC 2019 - “MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation“
M Sadegh Riazi, Mojan Javaheripi, Siam U Hussain, Farinaz Koushanfar
IEEE HOST 2019 - “Deep Learning on Private Data“
M Sadegh Riazi, Bita Darvish Rouhani, Farinaz Koushanfar
IEEE Security and Privacy (S&P) Magazine 2019
2018
- “Scaling Up Secure Nearest Neighbor Search“
Hao Chen, Ilaria Chillotti, Oxana Poburinnaya, Ilya Razenshteyn, M. Sadegh Riazi
NeurIPS 2018 | Workshop on Privacy-Preserving Machine Learning - “Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications“
M Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M Songhori, Thomas Schneider, Farinaz Koushanfar
AsiaCCS 2018 | Among top 0.1% most cited papers in computer science in 2018 - “Privacy-Preserving Deep Learning and Inference“
M Sadegh Riazi and Farinaz Koushanfar
ICCAD 2018 | Invited Paper - “DeepSecure: Scalable Provably-Secure Deep Learning“
Bita Darvish Rouhani, M Sadegh Riazi, Farinaz Koushanfar
DAC 2018 | Among top 0.1% most cited papers in computer science in 2018 - “SHAIP: Secure Hamming Distance for Authentication of Intrinsic PUFs“
Siam U Hussain, M Sadegh Riazi, Farinaz Koushanfar
ACM TODAES 2018
2017
- “CAMsure: Secure Content-Addressable Memory for Approximate Search“
M Sadegh Riazi, Mohammad Samragh, Farinaz Koushanfar
CODES 2017 | Nominated for the best paper award - “Sub-Linear Privacy-Preserving Near-Neighbor Search“
M Sadegh Riazi, Beidi Chen, Anshumali Shrivastava, Dan Wallach, Farinaz Koushanfar
arXiv 2017 - “PriSearch: Efficient Search on Private Data“
M Sadegh Riazi, Ebrahim M Songhori, Farinaz Koushanfar
DAC 2017 - “Toward Practical Secure Stable Matching“
M Sadegh Riazi, Ebrahim M Songhori, Ahmad-Reza Sadeghi, Thomas Schneider, Farinaz Koushanfar - PoPETs 2017
2016
- “GenMatch: Secure DNA Compatibility Testing“
M. Sadegh Riazi, Neeraj K. R. Dantu, L. N. Vinay Gattu, Farinaz Koushanfar
HOST 2016
Sadegh Riazi 