pozorvlak + programming   952

Introducing EmacSQL « null program
And the problems with running subprocesses via ptys.
computers  programming  emacs  databases  unix  sqlite 
15 days ago by pozorvlak
The three-page paper that shook philosophy: Gettiers in software engineering « the jsomers.net blog
Supppose you’re standing in a field and off in the distance you see a cow. But suppose that what you’re actually looking at isn’t a cow, it’s just a convincingly lifelike model of a cow made out of papier-mâché. You’re not seeing a cow, you’re seeing the model. But then finally suppose that right behind the papier-mâché cow is a real cow!

On the one hand, you have a justified true belief that “there is a cow in the field”: (1) you believe there’s a cow in the field; (2) that belief didn’t come ...
computers  programming  debugging  philosophy 
15 days ago by pozorvlak
The Surprising Security Benefits of End-to-End Formal Proofs » CCC Blog
Buffer overflows and code-injection attacks give the attacker so much power that nearly any functional specification can be thwarted. That’s why mechanized proof of modest-seeming behavioral specifications can yield big security dividends.
computers  programming  security  infosec  testing  formalmethods 
27 days ago by pozorvlak
Why Don't People Use Formal Methods? • Hillel Wayne
I saw this question on the Software Engineering Stack Exchange: What are the barriers that prevent widespread adoption of formal methods? The question was closed as opinion-based, and most of the answers were things like “its too expensive!!!” or “website isn’t airplane!!!” These are sorta kinda true but don’t explain very much. I wrote this to provide a larger historical picture of formal methods, why they’re actually so unused, and what we’re doing to make them used.
computers  programming  testing  formalmethods  theoremprovers 
28 days ago by pozorvlak
DeepState: Symbolic Unit Testing for C and C++
DeepState is a tool that provides a Google Test-like API to give C and C++ developers push-button access to symbolic execution engines, such as Manticore and angr, and fuzzers, such as Dr. Fuzz. Rather than learning multiple complex tools, users learn one interface for defining a test harness, and can use various methods to automatically generate tests for software. In addition to providing a familiar interface to binary analysis and fuzzing for parameterized unit testing, DeepState also provides constructs that aid in the construction of API-sequence tests, where the tool chooses the functions or methods to call, allowing for even more diverse and powerful tests. By serving as a front-end to multiple tools, DeepState additionally provides a way to apply (novel) high-level strategies to test generation, and to compare effectiveness and efficiency of testing back-ends, including binary analysis tools.
computers  programming  testing  c  c++  fuzzers 
5 weeks ago by pozorvlak
[1806.07366] Neural Ordinary Differential Equations
We introduce a new family of deep neural network models. Instead of specifying a discrete sequence of hidden layers, we parameterize the derivative of the hidden state using a neural network. The output of the network is computed using a black-box differential equation solver. These continuous-depth models have constant memory cost, adapt their evaluation strategy to each input, and can explicitly trade numerical precision for speed. We demonstrate these properties in continuous-depth residual networks and continuous-time latent variable models. We also construct continuous normalizing flows, a generative model that can train by maximum likelihood, without partitioning or ordering the data dimensions. For training, we show how to scalably backpropagate through any ODE solver, without access to its internal operations. This allows end-to-end training of ODEs within larger models.
maths  deeplearning  machinelearning  computers  programming  ai 
5 weeks ago by pozorvlak
Comparison of the Parsec, Attoparsec and Megaparsec libraries
computers  programming  parsing  haskell 
6 weeks ago by pozorvlak
smallstep - Everything you should know about certificates and PKI but are too afraid to ask
Public key cryptography lets computers “see” across networks. If I have a public key, I can “see” you have the corresponding private key, but I can’t use it myself. If I don’t have your public key, certificates can help. Certificates bind public keys to the name of the owner of the corresponding private key. They’re like driver’s licenses for computers and code. Certificate authorities (CAs) sign certificates with their private keys, vouching for these bindings. They’re like the DMV. If you’re t...
computers  programming  security  infosec  crypto  web 
6 weeks ago by pozorvlak
Out of shape? Why deep learning works differently than we thought
Current deep learning techniques for object recognition primarily rely on textures, not on object shapes.
computers  programming  ai  machinelearning  deeplearning  science  computervision 
10 weeks ago by pozorvlak
The deepest problem with deep learning – Gary Marcus – Medium
It fails for anything outside perceptual classification, and fails badly for out-of-dataset examples even there. The author suggests that it should be supplemented with symbolic manipulation.
computers  programming  ai  deeplearning 
11 weeks ago by pozorvlak
Today’s JavaScript trash fire and pile on – Chris Northwood – Medium
Four years ago I wrote a slightly inflamatory blog on what still sucks in front-end dev. One of the points was on Bower and how JS library management sucks. Sadly, the tools have changed, but JS…
packagemanagers  javascript  node.js  computers  programming  security  infosec 
12 weeks ago by pozorvlak
Mutual Purpose and Agreed-Upon Methods – Jessica Kerr – Medium
Can we please replace “shared values” with “mutual purpose and agreed-upon methods”?
teamwork  programming  jobs  socialinteraction 
12 weeks ago by pozorvlak
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