bymavis

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

bymavis/CAS_ICLR2021

bymavis/Adv_Weight_NeurIPS2021

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

bymavis/3-Phish-Page-Detection

A machine learning based phishing detection prototype

bymavis/anonymous

bymavis/BackdoorBox

bymavis/bymavis.github.io

My homepage's source code

bymavis/CodeT5

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

bymavis/CodeXGLUE

CodeXGLUE

bymavis/ColossalAI

Making big AI models cheaper, easier, and more scalable

bymavis/DeepWukong

bymavis/devign

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

bymavis/evals

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

bymavis/neural-anisotropy-directions

Source code for "Neural Anisotropy Directions"

bymavis/ODGen

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

bymavis/oldversion_joern

deepwukkong_preprocess

bymavis/PhishingBaseline

Implementations of 3 phishing detection and identification baselines

bymavis/PhishIntention

PhishIntention: Phishing detection through webpage intention

bymavis/Phishpedia

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

bymavis/pyopdb

bymavis/stanford_alpaca

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

bymavis/stealing-part-of-an-LM

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

bymavis/SySeVR

bymavis/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.