In this post, we will be talking about the vulnerabilities that plague machine learning. Yes, in the realm of computer science, no field is void of vulnerabilities and loopholes and as we progress towards a very AI-based future, the security and robustness of machine learning models become an important aspect. What are Adversarial Attacks? The […]
Adversarial Attacks Read More »
A short guide on how to implement linear regression using libraries. Hola mates, long time no C. Yeah, I am just a Python guy and I don’t like C/C++ too much simply because they aren’t that handy. A programming language is a tool that should be easy to use and should allow you to implement
Linear Regression in Python: The Naive Way Read More »
Let’s look at the hello world of machine learning algorithms. In this post, we will look at a very simple machine learning algorithm which is actually the “hello world” equivalent of programming languages. So what is linear regression? If you are from a statistics background chances are you already know what it means. In statistics,
Autonomous vehicles need to classify road conditions in real time. Wet roads, icy surfaces, severe potholes. The model needs to know so the vehicle can adjust speed, traction, suspension before it gets there. Training that model needs data. Lots of it. From lots of different roads, weather conditions, geographies. You could collect it all centrally,
Label Flipping Attacks in Federated Learning: The FedTrident Defense Explained Read More »
Let us start with something simple. We download a neural network to try out in a project. It might sort images or help with a data pipeline. That model looks like just a file we use and forget. Now imagine that file is carrying a hidden payload. It might sound like a thought experiment, but
Can You Hide Malware in Neural Networks? Read More »