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todayAugust 26, 2022

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Adversarial ML Digest admin

Adversarial ML research digest – Adversarial attacks on 5G, Graph backdoors and Membership Inference via Adversarial attack

Carrying out vulnerabilities in machine learning models as part of the study is necessary for further successful work on potential attacks and defenses. And here is a selection of the most interesting studies for July 2022. Membership Inference Attacks via Adversarial Examples Why is it important? A few examples are ...

todayAugust 23, 2022

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Secure AI Weekly admin

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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Secure AI Weekly + Digests admin

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 28, 2022

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Adversarial ML research digest – Architectural Backdoors, Federated Learning Backdoors, and Image-scaling attacks on AI

Carrying out vulnerabilities in machine learning models as part of the study is necessary for further successful work on potential attacks and defenses. And here is a selection of the most interesting studies for June 2022. This time the topic of various Backdoors in AI is getting more attention, as ...

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 ...