bymavis Goto Github PK

3-phish-page-detection

A machine learning based phishing detection prototype

adv_weight_neurips2021

The official code (PyTorch version) for paper 'Clustering Effect of Adversarial Robust Models'. (accepted by NeurIPS 2021, Spotlight)

anonymous

backdoorbox

bymavis.github.io

My homepage's source code

cas_iclr2021

codet5

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

codexglue

CodeXGLUE

colossalai

Making big AI models cheaper, easier, and more scalable

deepwukong

devign

Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

evals

Evals is a framework for evaluating OpenAI models and an open-source registry of benchmarks.

neural-anisotropy-directions

Source code for "Neural Anisotropy Directions"

odgen

ODGen is a tool to detect multiple types of vulnerabilities in Node.js packages.

oldversion_joern

deepwukkong_preprocess

phishingbaseline

Implementations of 3 phishing detection and identification baselines

phishintention

PhishIntention: Phishing detection through webpage intention

phishpedia

Official Implementation of "Phishpedia: A Hybrid Deep Learning Based Approach to Visually Identify Phishing Webpages" USENIX'21

pyopdb

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

stealing-part-of-an-lm

An unofficial implementation of "Stealing Part of a Production Language Model"

sysevr

untargeted_backdoor_watermark

This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection', accepted in NeurIPS 2022.