Marktechpost

OCTOBER 14, 2024

raising widespread concerns about privacy threats of Deep Neural Networks (DNNs). Although to defend against MI attacks, most existing methods can be categorized into two types: model output processing and robust model training. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Categorization 104

Categorization Neural Network Inference Engine Deep Learning 104

Marktechpost

OCTOBER 15, 2024

XAI, or Explainable AI, brings about a paradigm shift in neural networks that emphasizes the need to explain the decision-making processes of neural networks, which are well-known black boxes. Today, we talk about TDA, which aims to relate a model’s inference from a specific sample to its training data.

Explainability 57

Explainability Explainable AI Python Neural Network 57

Viso.ai

MAY 24, 2024

This technique combines learning capabilities and logical reasoning from neural networks and symbolic AI. It uses formal languages, like first-order logic, to represent knowledge and an inference engine to draw logical conclusions based on user queries. Extracting information from the patterns learned by neural networks.

Neural Network 52

Neural Network Robotics Automation Explainability 52