moyix

Using Linear Algebra to Convert a Large Code Model

Background

The SalesForce CodeGen models are a family of large language models trained on a large amount of natural language data and then fine-tuned on specialized datasets of code. Models of size 350M, 2B, 6B, and 16B parameters are provided in three flavors:

• nl, the base model trained on The Pile, a large natural language dataset compiled by EleutherAI
• multi, which is fine-tuned from the nl model on a dataset of code in multiple languages, scraped from GitHub, and
• mono, which is fine-tuned from the multi model on Python code only.

KLBot

MLSEC.IO Phishing Track Solution

About us: Our team comprises two data scientists from the Technology Research team at Kaspersky, who are working on, among other things, Machine Learning (ML) based phishing detection technologies. Here’s how we achieved first place in the phishing track of the Machine Learning Security Evasion Competition, sponsored by Microsoft and partners CUJO AI, NVIDIA, VMRay, and MRG Effitas.

Task description

The task was to modify 10 (synthetic) phishing samples to make seven phishing detection models believe these samples were benign. A model was bypassed if it returned a probability of less than 0.1 for each sample. However, there was a catch: after modifications, the samples needed to look the same as before (or to be precise, screenshots of the renders should have the same hashes for both the original and the modified html file). Models were available via an API, that is the setting was black-box. To win, you needed to fool as many models as possible for each sample, maki

Neo23x0

Base64 Patterns - Learning Aid

Base64 Code	Mnemonic Aid	Decoded*	Description
JAB	🗣 Jabber	$.	Variable declaration (UTF-16), e.g. JABlAG4AdgA for $env:
TVq	📺 Television	MZ	MZ header
SUVY	🚙 SUV	IEX	PowerShell Invoke Expression
SQBFAF	🐣 Squab favorite	I.E.	PowerShell Invoke Expression (UTF-16)
SQBuAH	🐣 Squab uahhh	I.n.	PowerShell Invoke string (UTF-16) e.g. Invoke-Mimikatz
PAA	💪 "Pah!"	<.	Often used by Emotet (UTF-16)

arkadiyt

Cryptopals is a set of cryptographic challenges, originally published here: https://cryptopals.com

Set 8 of the challenges was never published publicly, until late March 2018. However the cryptopals website was not updated to include the challenges. This gist compiles the 8th set of the Cryptopals challenges.

title	link
57. Diffie-Hellman Revisited: Small Subgroup Confinement	https://toadstyle.org/cryptopals/513b590b41d19eff3a0aa028023349fd.txt
58. Pollard's Method for Catching Kangaroos	https://toadstyle.org/cryptopals/3e17c7b35fcf491d08c989081ed18c9a.txt
59. Elliptic Curve Diffie-Hellman and Invalid-Curve Attacks	https://toadstyle.org/cryptopals/a0833e607878a80fdc0808f889c721b1.txt

rspeer

pascal-schetelat

# -*- coding: utf-8 -*-
"""
Created on Sat Nov 30 22:32:04 2013

@author: pascal Schetelat
"""



import matplotlib.pyplot as plt

tansey

        public static double SampleGaussian(Random random, double mean, double stddev)
        {
            // The method requires sampling from a uniform random of (0,1]
            // but Random.NextDouble() returns a sample of [0,1).
            double x1 = 1 - random.NextDouble();
            double x2 = 1 - random.NextDouble();

            double y1 = Math.Sqrt(-2.0 * Math.Log(x1)) * Math.Cos(2.0 * Math.PI * x2);
            return y1 * stddev + mean;
        }