Linux 内核揭秘

awesome game security [Welcome to PR]

Jupyter magics and kernels for working with remote Spark clusters

Academic papers related to fuzzing, binary analysis, and exploit dev, which I want to read or have already read

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

Fully dockerized Linux kernel debugging environment

ucore os lab guide

kernel privilege escalation enumeration and exploitation framework

IPython Kernel for Jupyter

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

Visual Studio Code project/compile_commands.json generator for Linux kernel sources and out-of-tree modules

Code for the USENIX 2017 paper: kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels

Minimal Jupyter C kernel

A flexible Python 2/3 Kconfig implementation and library

Patchman is a Linux Patch Status Monitoring System

qemu-user-static (qus) and containers, non-invasive minimal working setups

Collection of resources for my preparation to take the OSEE certification.

Exploit Development - Weaponized Exploit and Proof of Concepts (PoC)

Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework