Riazi2019
From ACES
| Riazi2019 | |
|---|---|
| entry | inproceedings |
| address | |
| annote | |
| author | M. Sadegh Riazi and Mohammad Samragh and Hao Chen and Kim Laine and Kristin Lauter and Farinaz Koushanfar |
| booktitle | USENIX Security |
| chapter | |
| edition | |
| editor | |
| howpublished | |
| institution | |
| journal | |
| month | 5 |
| note | |
| number | |
| organization | USENIX |
| pages | |
| publisher | USENIX |
| school | |
| series | |
| title | XONN: XNOR-based Oblivious Deep Neural Network Inference |
| type | |
| volume | |
| year | 2019 |
| doi | |
| issn | |
| isbn | |
| url | https://arxiv.org/pdf/1902.07342.pdf |
| Riazi2019.pdf | |
Email:
farinaz@ucsd.edu
farinaz@ucsd.edu
Address:
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Electrical & Computer Engineering
University of California, San Diego
9500 Gilman Drive, MC 0407
Jacobs Hall, Room 6401
La Jolla, CA 92093-0407
Lab Location: EBU1-2514
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093
University of California San Diego
9500 Gilman Dr, La Jolla, CA 92093