From 2705955d8b68d33a781840a28d6d0b05c034c99f Mon Sep 17 00:00:00 2001 From: Rob van der Veer Date: Sun, 28 Jul 2024 23:00:49 +0200 Subject: [PATCH] Fixed ETSI link --- content/ai_exchange/content/docs/ai_security_references.md | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/content/ai_exchange/content/docs/ai_security_references.md b/content/ai_exchange/content/docs/ai_security_references.md index e44dc57..5ede20a 100644 --- a/content/ai_exchange/content/docs/ai_security_references.md +++ b/content/ai_exchange/content/docs/ai_security_references.md @@ -14,7 +14,7 @@ Overviews of AI security threats: - [ENISA ML threats and countermeasures 2021](https://www.enisa.europa.eu/publications/securing-machine-learning-algorithms) - [MITRE ATLAS framework for AI threats](https://atlas.mitre.org/) - [NIST threat taxonomy](https://csrc.nist.gov/publications/detail/white-paper/2023/03/08/adversarial-machine-learning-taxonomy-and-terminology/draft) -- [ETSI SAI Problem statement Section 6](https://www.etsi.org/committee/1640-sai#) +- [ETSI SAI](https://www.etsi.org/technologies/securing-artificial-intelligence) - [Microsoft AI failure modes](https://docs.microsoft.com/en-us/security/failure-modes-in-machine-learning) - [NIST](https://csrc.nist.gov/pubs/ai/100/2/e2023/final) - [NISTIR 8269 - A Taxonomy and Terminology of Adversarial Machine Learning](https://csrc.nist.rip/external/nvlpubs.nist.gov/nistpubs/ir/2019/NIST.IR.8269-draft.pdf) @@ -36,7 +36,6 @@ Misc.: - [Microsoft/MITRE tooling for ML teams](https://www.mitre.org/news-insights/news-release/microsoft-and-mitre-create-tool-help-security-teams-prepare-attacks?sf175190906=1) - [Google's Secure AI Framework](https://blog.google/technology/safety-security/introducing-googles-secure-ai-framework/) - [NIST AI Risk Management Framework 1.0](https://doi.org/10.6028/NIST.AI.100-1) -- [ETSI GR SAI 002 V 1.1.1 Securing Artificial Intelligence (SAI) – Data Supply Chain Security](https://www.etsi.org/deliver/etsi_gr/SAI/001_099/002/01.01.01_60/gr_SAI002v010101p.pdf) - [ISO/IEC 20547-4 Big data security](https://www.iso.org/standard/71278.html) - [IEEE 2813 Big Data Business Security Risk Assessment](https://standards.ieee.org/ieee/2813/7535/) - [Awesome MLSecOps references](https://github.com/RiccardoBiosas/awesome-MLSecOps)