Security News > 2018 > April > Open-source library for improving security of AI systems
2018-04-18 19:50
IBM researchers have created the Adversarial Robustness Toolbox, an open-source library to help researchers improve the defenses of real-world AI systems. Attacks against neural networks have recently been flagged as one of the biggest dangers in our modern world where AI systems are increasingly getting embedded in many technologies we use and depend on daily. Adversaries can sometimes tamper with them even if they don’t know much about them, and “breaking” the system could result … More → The post Open-source library for improving security of AI systems appeared first on Help Net Security.
News URL
http://feedproxy.google.com/~r/HelpNetSecurity/~3/nUMl733Rsr0/
Related news
- Researchers Uncover Vulnerabilities in Open-Source AI and ML Models (source)
- How AI Is Changing the Cloud Security and Risk Equation (source)
- Google claims Big Sleep 'first' AI to spot freshly committed security bug that fuzzing missed (source)
- Osmedeus: Open-source workflow engine for offensive security (source)
- Am I Isolated: Open-source container security benchmark (source)
- AI Industry is Trying to Subvert the Definition of “Open Source AI” (source)
- HackerOne: Nearly Half of Security Professionals Believe AI Is Risky (source)
- AI’s impact on the future of web application security (source)
- How AI Is Transforming IAM and Identity Security (source)
- ScubaGear: Open-source tool to assess Microsoft 365 configurations for security gaps (source)