all InfoSec news
Defending Against Stealthy Backdoor Attacks. (arXiv:2205.14246v1 [cs.CR])
May 31, 2022, 1:20 a.m. | Sangeet Sagar, Abhinav Bhatt, Abhijith Srinivas Bidaralli
cs.CR updates on arXiv.org arxiv.org
Defenses against security threats have been an interest of recent studies.
Recent works have shown that it is not difficult to attack a natural language
processing (NLP) model while defending against them is still a cat-mouse game.
Backdoor attacks are one such attack where a neural network is made to perform
in a certain way on specific samples containing some triggers while achieving
normal results on other samples. In this work, we present a few defense
strategies that can be …
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Information Security Engineers
@ D. E. Shaw Research | New York City
IAM Engineer - SailPoint IIQ
@ IDMWORKS | Remote USA
Manager, Network Security
@ NFL | New York City, United States
Engineering Team Manager – Security Controls
@ H&M Group | Stockholm, Sweden
Senior Security Consultant
@ LRQA | USA, US