Imagine a busy train station. Cameras monitor everything, from how clean the platforms are to whether a docking bay is empty or occupied. These cameras feed into an AI system that helps manage station ...

Generally speaking, AI poisoning refers to the process of teaching an AI model wrong lessons on purpose. The goal is to ...

Federated learning is a machine learning technique that allows several individuals, dubbed "clients," to collaboratively ...

A recent study from Anthropic, in collaboration with the UK AI Security Institute and the Alan Turing Institute, caught my eye earlier this week. The study focused on the “poisoning” of AI models, and ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Data poisoning is a cyberattack where adversaries inject malicious or misleading data into AI training datasets. The goal is to corrupt their behavior and elicit skewed, biased, or harmful results. A ...

As a cloud operations professional focusing on machine learning (ML), my work helps organizations grasp ML systems' security challenges and develop strategies to mitigate risks throughout the ML ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

A small of amount of bad documents can 'poison' even the largest AI models, study finds. Hi, Beatrice Nolan here. I’m filling in for Jeremy, who is on assignment this week. A recent study from ...

Hello and welcome to Eye on AI…In this edition: A new Anthropic study reveals that even the biggest AI models can be ‘poisoned’ with just a few hundred documents…OpenAI’s deal with Broadcom….Sora 2 ...