4 янв. 2024 г. · This NIST Trustworthy and Responsible AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML).

2 янв. 2024 г. · This NIST Trustworthy and Responsible AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine ...

8 мар. 2023 г. · This NIST AI report is intended to be a step toward developing a taxonomy and terminol- ogy of adversarial machine learning (AML), which in turn ...

4 янв. 2024 г. · NIST has published a new report, NIST AI 100-2e2023, 'Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations.'

AI.100-2), is intended to help AI developers and users “get a handle on the types of attacks they might expect along with approaches to mitigate ...

16 янв. 2024 г. · In January 2024, NIST published a report on AI security titled, 'Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and ...

Security Considerations (Based on NIST AI 100-2 E2023). ○ AI Classification (Pred AI vs Gen AI). ○ Availability Breakdown Report. ○ An AVAILABILITY ATTACK ...

8 мар. 2023 г. · This NIST report on artificial intelligence (AI) develops a taxonomy of attacks and mitigations and defines terminology in the field of ...

1 февр. 2024 г. · I just published a summary of NIST's huge AI tome, NIST AI 100-2 E2023. Read on for highlights and some thoughts of mine.

NIST Trustworthy and Responsible AI. NIST AI 100-2e2023. Adversarial Machine Learning. A Taxonomy and Terminology of Attacks and Mitigations.