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22 search results found

H4cker ⭐ 15,693

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

Offensive Ai Compilation ⭐ 948

A curated list of useful resources that cover Offensive AI.

Backdoor Learning Resources ⭐ 888

A list of backdoor learning resources

Guardrail ⭐ 278

Build LLM apps safely and securely🛡️

Llm_rules ⭐ 172

RuLES: a benchmark for evaluating rule-following in language models

Ai Security And Privacy Events ⭐ 78

A curated list of academic events on AI Security & Privacy

Narcissus ⭐ 61

The official implementation of the CCS'23 paper, Narcissus clean-label backdoor attack -- only takes THREE images to poison a face recognition dataset in a clean-label way and achieves a 99.89% attack success rate.

Train Ai With Django Swagger Jwt ⭐ 57

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''

Vulnscan ⭐ 34

Performing website vulnerability scanning using OpenAI technologie

Atlas Data ⭐ 26

ATLAS tactics, techniques, and case studies data

Sdk Python ⭐ 23

Python library for Modzy Machine Learning Operations (MLOps) Platform

Code for "Adversarial attack by dropping information." (ICCV 2021)

Cvpr_2019_pni ⭐ 18

pytorch implementation of Parametric Noise Injection for adversarial defense

Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Antinex Core ⭐ 16

Network exploit detection using highly accurate pre-trained deep neural networks with Celery + Keras + Tensorflow + Redis

Videorlcs ⭐ 12

Learning to Identify Critical States for Reinforcement Learning from Videos (Accepted to ICCV'23)

Ratemyai ⭐ 12

Prompt Engineering Tool for AI Models with cli prompt or api usage

Meta Sift ⭐ 11

The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on poisoned dataset.

Imperio is an LLM-powered backdoor attack. It allows the adversary to issue language-guided instructions to control the victim model's prediction for arbitrary targets.

Attacking Distance Aware Attack ⭐ 5

Antinex Client ⭐ 5

AntiNex python client for training and using pre-trained deep neural networks with JWT authentication

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