emulenews:
RT @arxiv_org: Adversarial Initialization -- when your network performs the way I want. https://t.co/YPQ1jM79CU https://t.co/cnVJkKwvky
kli_nlpr:
RT @arxiv_org: Adversarial Initialization -- when your network performs the way I want. https://t.co/YPQ1jM79CU https://t.co/cnVJkKwvky
DrPjenFI:
RT @arxiv_org: Adversarial Initialization -- when your network performs the way I want. https://t.co/YPQ1jM79CU https://t.co/cnVJkKwvky
arxiv_org:
Adversarial Initialization -- when your network performs the way I want. https://t.co/YPQ1jM79CU https://t.co/cnVJkKwvky
arxivml:
"Adversarial Initialization -- when your network performs the way I want",
Kathrin Grosse, Thomas A. Trost, Marius …
https://t.co/1BO98Hb9X3
cynicalsecurity:
K. Grosse et al., “Adversarial Initialization -- when your network performs the way I want” […deployment of deep learning in production environments…how a simple recipe enables a market player to harm or delay the development of a competing product…]
https://t.co/vVBbkLMsrR
arxiv_cs_LG:
Adversarial Initialization -- when your network performs the way I want. Kathrin Grosse, Thomas A. Trost, Marius Mosbach, Michael Backes, and Dietrich Klakow https://t.co/fbxryU3XpC
BrundageBot:
Adversarial Initialization -- when your network performs the way I want. Kathrin Grosse, Thomas A. Trost, Marius Mosbach, Michael Backes, and Dietrich Klakow https://t.co/HWUtBFyvUE