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.
Organisations
People |
ORCID iD |
| Alessio Lomuscio (Principal Investigator) |
| Description | A method for the determination of robustness of ML models against adversarial attacks has been derived and experimented. A method for certified learning for learning robust ML models has been derived and implemented. This is presently the state-of-the-art method in the area. |
| 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 |