With increasing concern for data privacy, there have been several measures taken up to make AI applications privacy friendly. Of many such measures, the most commonly found and practiced method is Federated Learning. While an entire blog post will be dedicated to know how it works and its current application,…
Tag: Cyberattack
Backdoor: The Undercover Agent
As I was reading about backdoors sometime back, I could relate them to undercover agents. But much before getting to that, let’s see what backdoors are. A Backdoor in the world of internet and computerized systems, is like a stealthy / secret door that allows a hacker to get into…
Explainability vs. Confidentiality: A Conundrum
Ever since AI models have rendered biased results and have caused a major deal of dissatisfaction, panic, chaos, and insecurities, “Explainability” has become the buzz word. Indeed it’s genuine and a “Must-have” for an AI based product. The user has the right to question, “Why?” and “How?”. But how much…
Generative Adversarial Networks (GAN): The Devil’s Advocate
AI is fueled with abundant and qualitative data. But deriving such vast amount from real resources can be quite challenging. Not only because resources are limited, but also the privacy factor which at present is a major security requirement to be complied with, by AI powered systems. In this trade-off…