MilesQLi's repositories
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
Autozoom-Attack
Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” , published at AAAI 2019
bindifflib
Automated library compilation and PDB annotation with CMake and IDA Pro
EAD-Attack
Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018
functionsimsearch
Some C++ example code to demonstrate how to perform code similarity searches using SimHashing.
GOAT-Plugs
GCC Obfuscation Augmentation Tools
integrated-gradient-pytorch
This is the pytorch implementation of the paper - Axiomatic Attribution for Deep Networks.
limited-blackbox-attacks
Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)
Malware-Analysis
:mag: Resources for malware analysis.
malware-prediction-rnn
RNN implementation with Keras for machine activity data to predict malware
mcsema
Framework for lifting x86, amd64, and aarch64 program binaries to LLVM bitcode
Open-Vocabulary-Learning-on-Source-Code-with-a-Graph-Structured-Cache--Code-Preprocessor
Library for preprocessing java source code into Augmented ASTs, as per the paper Open Vocabulary Learning on Source Code with a Graph-Structured Cache
processhacker
A free, powerful, multi-purpose tool that helps you monitor system resources, debug software and detect malware.
pytorch-pretrained-BERT
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
pytorch_structure2vec
pytorch implementation of structure2vec (https://arxiv.org/abs/1603.05629)
Speech-to-text-converter
Application for converting speech to text. Speech can either be a live feed or a audio file. This application makes use of google speeech recognition api. It Require an active internet connection, audio files in .wav format and some python libraries to be installed. Just download unpack and double click on speech_recognition.exe For more understanding refer to https://youtu.be/N8mNHKbTmwg
VulDeePecker
VulDeePecker: A Deep Learning-Based System for Vulnerability Detection
walk_the_blocks
Implementation of Scheduled Policy Optimization for task-oriented language grouding