Day 9 Neural Networks
Neural Networks — Smart, Scalable… and Vulnerable 🧠🔐
Today I explored the marvel behind modern AI: Neural Networks — the architecture that powers everything from ChatGPT to self-driving cars 🚗✨
🔹 What Are Neural Networks?
Neural Networks are made up of layers of tiny, “dumb” units called neurons that pass information forward — like a massive game of telephone ☎️
They’re inspired by the human brain — but much simpler (and no coffee needed!).
Key Components:
🟢 Input Layer — Receives raw data (images, text, signals)
🔵 Hidden Layers — Extract and combine patterns/features
🔴 Output Layer — Makes the final prediction or decision
👉 With enough neurons and training data, neural networks can approximate any continuous function — a superpower known as the Universal Approximation Theorem.
🔐 Security Lens: Neural Networks Can Be Leaky
Their power comes with pitfalls — here’s how attackers exploit them:
⚠️ Adversarial Examples
📌 Microscopic changes to inputs can cause wild misclassifications.
Think: Your friend sends you a selfie — just a little distorted, but your phone sees a giraffe 🦒
⚠️ Model Extraction Attacks
📌 Repeatedly querying a model can let attackers reverse-engineer its logic.
Like watching someone type and guessing their password from screen reactions 🎯
⚠️ Membership Inference Attacks
📌 Attackers can tell if a specific person’s data was used in training.
Imagine deducing if your shopping history helped train a product recommender 👀
📚 Key References
Szegedy et al. (2013): Intriguing Properties of Neural Networks
Gao et al. (2020): Exploring the Limits of Model Extraction Attacks
💬 Let’s Talk
Have you ever thought about how leaky a black-box neural network can be? Let’s discuss the risks of treating models like magic boxes 👇
📅 Up Next: Feature Engineering — how it shaped ML before deep learning and the hidden risks it still carries 🔍🔐
🔗 Missed Day 8? Catch it here
#100DaysOfAISec – Day 9 Post #AISecurity #MLSecurity #MachineLearningSecurity #NeuralNetworks #CyberSecurity #AIPrivacy #AdversarialML #LearningInPublic #100DaysChallenge #ArifLearnsAI #LinkedInTech
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