naymyatmin Goto Github PK

abs

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

aiot-sol

cipherkracker

Encrypting, Decrypting and Cracking the Symmetric Ciphers!

ctf-wiki

CTF Wiki Online. Come and join us, we need you!

internal-pentest-playbook

Internal Network Penetration Test Playbook

intro_to_ml_safety

jue_backdoor

machine-learning-book

Code Repository for Machine Learning with PyTorch and Scikit-Learn

malware

IoT Security Reading List

moth

This is the implementation for IEEE S&P 2022 paper "Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security."

nad

This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

neural-cleanse

Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and Privacy 2019.

payloadsallthethings

A list of useful payloads and bypass for Web Application Security and Pentest/CTF

seclists

SecLists is the security tester's companion. It is a collection of multiple types of lists used during security assessments. List types include usernames, passwords, URLs, sensitive data grep strings, fuzzing payloads, and many more.

socrates

strip

This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"

tdc-starter-kit

Starter kit and data loading code for the Trojan Detection Challenge NeurIPS 2022 competition

ulrl

Unified Neural Backdoor Removal with Only Few Clean Samples through Unlearning and Relearning

uniqdnsrecon

DNS Buffer Over Run using multiple Recon Engines and finding out the unique ones

windows-kernel-exploits

windows-kernel-exploits Windows平台提权漏洞集合