Education Hub for Generative AI

Tag: AI backdoors

Training Data Poisoning Risks for Large Language Models and How to Mitigate Them 20 January 2026

Training Data Poisoning Risks for Large Language Models and How to Mitigate Them

Training data poisoning lets attackers corrupt AI models with tiny amounts of malicious data, causing hidden backdoors and dangerous outputs. Learn how it works, real-world examples, and proven ways to defend your models.

Susannah Greenwood 8 Comments

About

AI & Machine Learning

Latest Stories

When Smaller, Heavily-Trained Large Language Models Beat Bigger Ones

When Smaller, Heavily-Trained Large Language Models Beat Bigger Ones

Categories

  • AI & Machine Learning

Featured Posts

How Finance Teams Use Generative AI for Better Forecasting and Variance Analysis

How Finance Teams Use Generative AI for Better Forecasting and Variance Analysis

Chain-of-Thought in Vibe Coding: Why Explanations Before Code Work Better

Chain-of-Thought in Vibe Coding: Why Explanations Before Code Work Better

Penetration Testing MVPs Before Pilot Launch: How to Avoid Costly Security Mistakes

Penetration Testing MVPs Before Pilot Launch: How to Avoid Costly Security Mistakes

Hyperparameters That Matter Most in Large Language Model Pretraining

Hyperparameters That Matter Most in Large Language Model Pretraining

Teaching with Vibe Coding: Learn Software Architecture by Inspecting AI-Generated Code

Teaching with Vibe Coding: Learn Software Architecture by Inspecting AI-Generated Code

Education Hub for Generative AI
© 2026. All rights reserved.