USENIX Security ’22 – ‘ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models’
Complete Title: ‘USENIX Security ’22 – Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang – ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models’
Our thanks to USENIX for publishing their Presenter’s outstanding USENIX Security ’22 Conference content on the organization’s’ YouTube channel.
*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://www.youtube-nocookie.com/embed/YAEK8Bm5VCc
