SpaceSec 2023 - A Case Study on Fuzzing Satellite Firmware

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New channel NDSS Symposium: title sample judged 'whole' (Academic security conference channel with research paper presentations, keynotes, and technical sessions that are nearly); 1 of 3 sampled transcripts showed teaching, 0 not; every title checked strictly; oEmbed verified.

What you'll learn

A 30-minute video from NDSS Symposium: “SpaceSec 2023 - A Case Study on Fuzzing Satellite Firmware”.

Programming & CS

Video by NDSS Symposium, played through YouTube's embedded player.

17:44

NDSS 2026 - PIRANHAS: PrIvacy-Preserving Remote Attestation in Non-Hierarchical Asynchronous Swarms NDSS SymposiumProgramming & CS

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NDSS 2026 - Repairing Trust in Domain Name Disputes Practices NDSS SymposiumProgramming & CS

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But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math

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Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyProgramming & CS

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The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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NDSS 2026 - PIRANHAS: PrIvacy-Preserving Remote Attestation in Non-Hierarchical Asynchronous Swarms

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Advanced

A 18-minute video from NDSS Symposium: “NDSS 2026 - PIRANHAS: PrIvacy-Preserving Remote Attestation in Non-Hierarchical Asynchronous Swarms”.

17:34

NDSS 2026 - Repairing Trust in Domain Name Disputes Practices

NDSS Symposium

Advanced

A 18-minute video from NDSS Symposium: “NDSS 2026 - Repairing Trust in Domain Name Disputes Practices”.

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

Intro25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

8.21M views

Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

2:27:41

CS50x 2024 - Lecture 1 - C

CS50

Intro1.41M views

CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

“Hello, world” from scratch on a 6502 — Part 1

Ben Eater

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

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Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.

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CS50x 2024 - Lecture 0 - Scratch

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CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

RailsConf 2014 - All the Little Things by Sandi Metz

Confreaks

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Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.