Work

FAT-RABBIT: Fault-Aware Training towards Robustness AgainstBit-flip Based Attacks in Deep Neural Networks

Year: 2024

Type: conference-paper

Source: Proceedings/Proceedings - International Test Conference

DOI: 10.1109/itc51657.2024.00029

Authors: Hossein Pourmehrani, Javad Bahrami, Parsa Nooralinejad, Hamed Pirsiavash, Naghmeh Karimi

Institutions: University of Maryland, Baltimore, University of California, Davis

Language: English

Topic: Adversarial Robustness in Machine Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4404847903

FWCI: 3.524

Cites: 19

Cited by: 12

Related to: 10