How to Defend Neural Networks from Trojan Attacks
Neural networks, inspired by the human brain, play a pivotal role in modern…
Model Fragmentation and What it Means for Security
Introduction Machine learning models have become integral components in a…
Outsmarting AI with Model Evasion
In the cybersecurity arena, artificial intelligence classifiers like neural…
AI and Canada: Pioneering Innovation, Searching for Homegrown Success
Deep Learning’s Canadian Roots and Revolution It’s easy to forget, amid the…
Securing Machine Learning Workflows through Homomorphic Encryption
While ML/AI in its pioneering days might have gotten away by considering data…
Understanding Data Poisoning: How It Compromises Machine Learning Models
Machine learning (ML) and artificial intelligence (AI) have rapidly…
Semantic Adversarial Attacks: When Meaning Gets Twisted
A particular subset of AI/ML adversarial attcks that often flies under the…
A (Very) Brief History of AI
Pre-Dartmouth As early as the mid-19th century, Charles Babbage and Ada…
Understanding and Addressing Biases in Machine Learning
Introduction ML enables computers to learn from data and make decisions,…