Secure AI Weekly

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todaySeptember 13, 2022

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Towards Trusted AI Week 37 – What are the security principles of AI and ML?

Cybersecurity Threats Loom Over Endpoint AI Systems EETimes Asia, September 6, 2022 IoT systems have evolved to a high level of development and products are issued with certificates that guarantee the protection of intellectual property. Additionally, adversarial attacks are being carried out and new threats are penetrating safe zones. Adversarial ...

todayAugust 23, 2022

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Towards Trusted AI Week 34 – Attacks on ML systems and how it relates to popular libraries

Reinforcement learning models are prone to membership inference attacks TechTalks, August 15, 2022 Machine learning is becoming part of most of applications we use every day with increasing attention being paid to identifying and mitigating threats to the security and privacy of machine learning models. Yet some areas of machine ...

todayAugust 3, 2022

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Towards Trusted AI Week 31 – There are many techniques to bypass AI. Should we trust autonomous vehicles?

Enhancing the safety of autonomous vehicles in critical scenarios Tech Xplore, July 26, 2022 Ingrid Fadelli The framework, developed by researchers at the University of Ulm in Germany, is designed to detect potential threats around self-driving vehicles in real time. It could help make them safer in urban and high-dynamic ...

todayJuly 26, 2022

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Towards Trusted AI Week 30 – Quick profit or AI safety — what is more important?

UT Austin, MITRE Partnership Scales Up Investment in Ethical AI Unite.ai, 21 July 2022 To accelerate innovative ethical artificial intelligence research, the University of Texas at Austin (UT Austin) and MITRE Corporation, a non-profit organization dedicated to “solving problems for a safer world”, have entered into a partnership. Along with ...