USENIX supports diversity, equity, and inclusion and condemns hate and discrimination.
SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost
Submitted by jasmine@usenix.org on October 28, 2021 - 5:21 pm
| Title | SIMC: ML Inference Secure Against Malicious Clients at Semi-Honest Cost |
| Publication Type | Conference Paper |
| Year of Publication | 2022 |
| Authors | Chandran N, Gupta D, Obbattu SLakshmi Bh, Shah A |
| Conference Name | 31st USENIX Security Symposium (USENIX Security 22) |
| Date Published | 08/2022 |
| Publisher | USENIX Association |
| Conference Location | Boston, MA |
| ISBN Number | 978-1-939133-31-1 |
| URL | https://www.usenix.org/conference/usenixsecurity22/presentation/chandran |
- DBLP
- Log in or Register to post comments
- Google Scholar
- BibTeX