Trusted AI Blog

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todayJuly 3, 2023

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Trusted AI Blog + Adversarial ML admin

Secure AI Research papers: Visual Adversarial Examples Jailbreak Large Language Models and more

This digest delves into four riveting research papers that explore adversarial attacks on various machine learning models.  From visual trickery that fools large language models to systematic reviews of unsupervised machine learning vulnerabilities, these papers offer an eye-opening insight into the constantly evolving landscape of machine learning security. Subscribe for ...

todayJune 21, 2023

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Secure AI Weekly + Trusted AI Blog admin

Towards Trusted AI Week 25 – Nvidia and WEF Updates and Strategies for Securing AI

AI Governance Alliance World Economic Forum In a groundbreaking move, the World Economic Forum has taken a significant step towards safeguarding the security and safety of artificial intelligence (AI) systems. The launch of the AI Governance Alliance brings together key stakeholders from various sectors, including industry leaders, governments, academic institutions, ...

todayJune 13, 2023

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Secure AI Weekly + Trusted AI Blog admin

Towards Trusted AI Week 24 – Google , ENISA and OWASP initiatives on Secure AI

Securing AI Systems — Defensive Strategies Medium, June 7, 2023 In the ever-expanding field of artificial intelligence (AI), ensuring the security and safety of AI systems has emerged as a critical concern. In the context of AI-based solutions, a comprehensive understanding of the risk landscape is essential. The first paper ...

todayJune 5, 2023

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Trusted AI Blog + Adversarial ML admin

Secure AI Research papers: Innovative Research on Neurosymbolic AI, Vision-Language Models, Prompt Injections and Drone Behavior Manipulation

Dive into the intricate tapestry of newest artificial intelligence research as we unravel a series of compelling Arxiv papers spanning diverse topics ranging from neurosymbolic AI, autonomous drone manipulation to real-world vulnerabilities in language model applications.  The essence of each study lies within the careful blend of objectives, methodologies, findings, ...