zq-struggle Goto Github PK

abs

ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation

advdoor

AdvDoor: Adversarial Backdoor Attack of Deep Learning System

advdoor-1

Adversarial Backdoor Attack

adversarial-face-attack

Black-Box Adversarial Attack on Public Face Recognition Systems

attackwebframeworktools-5.0

本软件首先集成危害性较大框架和部分主流cms的rce(无需登录,或者登录绕过执行rce)和反序列化(利用链简单)。傻瓜式导入url即可实现批量getshell。批量自动化测试。例如:Thinkphp,Struts2,weblogic。出现的最新漏洞进行实时跟踪并且更新例如:log4jRCE,向日葵RCE 等等.

backdoor_data_poisoning

carlini-and-wagner_inceptionv3_imagenet

Simple implementation of the C&W attack on a pre-trained Keras's InceptionV3 on Imagenet

ckpt_to_h5

tensorflow of ckpt to keras of h5

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

content-poisoning

coophance

corbfuzz

Code for ASE'21 Paper "CorbFuzz: Checking Browser Security Policies with Fuzzing"

coursera-ml-using-matlab-python

coursera吴恩达机器学习课程作业自写Python版本+Matlab原版

crowddet

cve-2021-21123-poc-google-chrome

🐱‍💻 👍 Google Chrome - File System Access API - vulnerabilities reported by Maciej Pulikowski | Total Bug Bounty Reward: $5.000 | CVE-2021-21123 and 5 more...

deepxplore

DeepXplore code release

deseriguard

dynbox

This document serves as a guide for installing and using DynBox, a dynamic system call sandbox designed to isolate vulnerable programs. It is the accompanying artifact for the OOPSLA 2023 submission titled Building Dynamic System Call Sandbox with Partial Order Analysis. Within this guide, we provide a detailed description of how to reproduce the d

facenet

Face recognition using Tensorflow

facescrub

Python script for downloading the FaceScrub face dataset.

fundamentalcumputerprogram

script for judge

fuzzilli

A JavaScript Engine Fuzzer

gitignore

A collection of useful .gitignore templates

js

json

JSON for Modern C++

latex-template-cn

\LaTeX 中文模版收集。

libsvm

llama

Inference code for LLaMA models

one-pixel-attack-keras

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet

python-fuse

Python 2.x/3.x bindings for libfuse 2.x