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 …

attacks backdoor

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