How to Defend Neural Networks from Trojan Attacks
The Trojan Threat in Neural Networks What is a Trojan Attack? What are…
Model Fragmentation and What it Means for Security
Introduction What is Model Fragmentation? Reasons for Model Fragmentation……
Outsmarting AI with Model Evasion
Understanding Model Evasion Definition of Model Evasion What it means for…
AI and Canada: Pioneering Innovation, Searching for Homegrown Success
Deep Learning’s Canadian Roots and Revolution Big Names from Canada: The…
Securing Machine Learning Workflows through Homomorphic Encryption
What Is Data Encryption and Why Is It Essential? The Security Imperative…
Understanding Data Poisoning: How It Compromises Machine Learning Models
What is Data Poisoning? Types of Data Poisoning Attacks Label Flipping…
Semantic Adversarial Attacks: When Meaning Gets Twisted
What Are Adversarial Attacks? The Role of Semantics in AI When Semantics…
A (Very) Brief History of AI
Pre-Dartmouth Dartmouth Conference (1956): The birth of AI 1950s-1960s…
Understanding and Addressing Biases in Machine Learning
Introduction Overview of Biases in ML and Concerns The Importance of…