Fengchao-531

opencv

Open Source Computer Vision Library

shap

A game theoretic approach to explain the output of any machine learning model.

llama-recipes

Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

lime

Lime: Explaining the predictions of any machine learning classifier

social-engineer-toolkit

The Social-Engineer Toolkit (SET) repository from TrustedSec - All new versions of SET will be deployed here.

LoRA

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

torchtune

PyTorch native finetuning library

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

bert_score

BERT score for text generation

TextFooler

A Model for Natural Language Attack on Text Classification and Inference

msgraph-sdk-python

Steal-ML

Model extraction attacks on Machine-Learning-as-a-Service platforms.

ArXivQA

WIP - Automated Question Answering for ArXiv Papers with Large Language Models (https://arxiv.taesiri.xyz/)

geval

Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment"

sublime-rules

Sublime rules for email attack detection, prevention, and threat hunting.

membership-inference

Code for Membership Inference Attack against Machine Learning Models (in Oakland 2017)

thermostat

Collection of NLP model explanations and accompanying analysis tools

model-inversion-attack

Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

doc-tutorial-downloads

The download files from the IBM Watson Service documentation tutorials

lloom

Concept Induction: Analyzing Unstructured Text with High-Level Concepts Using LLooM (CHI 2024 paper). LLooM automatically surfaces high-level concepts to analyze unstructured text.

membership_inference_attack

Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.

DeepfakeTextDetection

Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"

GNN-Embedding-Leaks

Membership-Inference-Attacks-by-Exploiting-Loss-Trajectory

phishingdata-Analysis

Experimentation with Sentiment Analysis on Phishing Email Datasets. Machine-learning techniques to help classify the overall emotional content of the data as well as the difference among different phishing data

SMV

Code and data for the ACL 2023 NLReasoning Workshop paper "Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods" (Feldhus et al., 2023)

raven

RAting VErbal Novelty

SLMIA-SR

Source code for the paper "SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems" accepted by NDSS 2024

IWSPA-2023-Adversarial-Synthetic-Dataset

LLM-Cipher

Repo for detecting LLM text in a generalized manner