SAIS: Secure AI assistantS

Lead Research Organisation: Imperial College London
Department Name: Computing

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

10 25 50
 
Description A method for the determination of robustness of ML models against adversarial attacks has been derived and experimented.
Exploitation Route Manufacturers and R&D labs can use these results to improve the assessment on the safety of ai assistants.
Sectors Aerospace

Defence and Marine

Communities and Social Services/Policy

Digital/Communication/Information Technologies (including Software)

Government

Democracy and Justice

Manufacturing

including Industrial Biotechology

Culture

Heritage

Museums and Collections

Security and Diplomacy