There are a ton of awesome Solana Security resources out there
From validating accounts to Anchor checks to post-mortems of major hacks
If you want to learn more about auditing smart contracts and exploits on @solana, check out these resources below 👇🧵
Start by watching this awesome talk by @samczsun
It sets the stage for how to think like an attacker, and explains various types of attacks
While it focuses on ETH, a lot of concepts carry over to Solana
Mar 28, 2022 • 4 tweets • 3 min read
another day, another @anchorlang meme @anchorlang for context, Anchor assigns each `#[account]` a type with a unique 8-byte identifier and prepends it to the account data - the so-called "discriminator"
this prevents account confusions, which can lead to vulnerabilities as detailed in Neodyme's blog
Everyone has heard about fast.ai or CS231n (for a good reason), but did you know you can access Stanford’s CS224w ML with Graphs or download the book Elements of Causal Inference for free? Thread on underappreciated ML resources 📚🎥 that deserve more love 👇 /1
With the # of (new) resources online and inspired by @SEBruder, I'm trying out a newsletter to curate these resources. Next edition will be on topics like NLP, RL and GOFAI. Feel free to check it out and lmk what you think! /2 getrevue.co/profile/openml…
May 22, 2020 • 18 tweets • 12 min read
If you're bored at home or just want to learn something new, check out these 15 amazing reading groups/virtual seminars covering topics such as Deep Learning, Computer Vision, Robotics, RL theory, NLP and Continual Learning 🖥️🎥👇
1/ MIT's Embodied Intelligence group has a seminar series moderated by @FerranAlet that regularly invites PIs to present their research. The last talk was given by @wellingmax who talked about his group's work on Equivariant Mesh CNNs and Factor Graph NNs
Sep 24, 2019 • 15 tweets • 24 min read
Transformers have led to a wave of recent advances in #NLProc such as BERT, XLNet and GPT-2, so here is a list of resources💻 I think are helpful to learn how Transformers work, from self-attention to positional encodings. I would loosely go through these in the following order👇
I’ll be keeping a more updated list on my GitHub. If there is anything that I missed, let me know or send in a pull request! github.com/sannykim/trans…
Jun 10, 2019 • 33 tweets • 28 min read
In this thread, I want to compile a list of Deep Learning resources 📚🎬 that some people might not be aware of. It’s amazing how organizations like @fastai, @stanfordnlp and @OpenAI and people like @math_rachel ,@pieterabbeel and @lexfridman have made these freely available 🎉👇
I’ll be keeping a more comprehensive list on my GitHub. But I’m sure there are many that I missed, so I’d love to know, if you have any other suggestions! github.com/sannykim/deep-…
