Artificial Intelligence (AI) and Machine Learning (ML) have rapidly evolved to become essential components of many applications we use daily. Whether it’s content recommendations, fraud detection, image recognition, or even personalized user experiences, AI models are becoming increasingly ubiquitous. But do you really know where these machine learning models are Lire la suite…
Have you ever wondered if your machine learning models are vulnerable to attacks that can extract sensitive information, revealing the secrets embedded in their algorithms? The threat of model inversion attacks is a pressing concern across various industries, especially when dealing with confidential data. In this article, we’ll explore the Lire la suite…
On-Device Artificial Intelligence (AI) is an invaluable asset to many industries, offering revolutionary capabilities in analysis and prediction. However, with this technological revolution comes a concern: the security of AI models. Companies invest heavily in the research and development of their algorithms, but how can their protection against prying eyes Lire la suite…
After working at xBrain, Thibault Maho started a Ph.D. whose title you may not understand: « Input Space Exploration for the security of neural network models ». However, his research works impact directly the trust you can have in artificial intelligence systems. Can you describe your research to a non-specialist? Neural networks Lire la suite…
What is a model and why do we care? Machine learning models are the results of highly complex computations and optimization over a massive amount of data. Data is the fuel of a machine learning algorithm. Due to privacy regulations, lack of sensors, or non-digitalization, it can be incredibly hard Lire la suite…