Topic: ai-security Goto Github
Some thing interesting about ai-security
Some thing interesting about ai-security
ai-security, Discover and inventory the SaaS applications used across your organization by intelligently analyzing incoming Gmail emails, providing valuable insights into your SaaS landscape.
User: aashiqramachandran
ai-security,Learning to Identify Critical States for Reinforcement Learning from Videos (Accepted to ICCV'23)
Organization: ai-initiative-kaust
ai-security,AiShields is an open-source Artificial Intelligence Data Input and Output Sanitizer
Organization: aishieldsorg
Home Page: https://AiShields.org
ai-security,GeminiHacker is a Python script designed to harness the power of a generative AI model for security research, bug bounty hunting, and vulnerability scanning. This README.md file provides detailed instructions on how to install, configure, and use the script effectively.
User: alpernae
Home Page: https://github.com/alpernae/GeminiHacker-CLI
ai-security,AI/LLM Prompt Injection List is a curated collection of prompts designed for testing AI or Large Language Models (LLMs) for prompt injection vulnerabilities. This list aims to provide a comprehensive set of prompts that can be used to evaluate the behavior of AI or LLM systems when exposed to different types of inputs.
User: anthenamatrix
Home Page: https://anthenamatrix.com
ai-security,Image Prompt Injection is a Python script that demonstrates how to embed a secret prompt within an image using steganography techniques. This hidden prompt can be later extracted by an AI system for analysis, enabling covert communication with AI models through images.
User: anthenamatrix
Home Page: https://anthenamatrix.com
ai-security,The Prompt Injection Testing Tool is a Python script designed to assess the security of your AI system's prompt handling against a predefined list of user prompts commonly used for injection attacks. This tool utilizes the OpenAI GPT-3.5 model to generate responses to system-user prompt pairs and outputs the results to a CSV file for analysis.
User: anthenamatrix
Home Page: https://anthenamatrix.com
ai-security,Website Prompt Injection is a concept that allows for the injection of prompts into an AI system via a website's. This technique exploits the interaction between users, websites, and AI systems to execute specific prompts that influence AI behavior.
User: anthenamatrix
Home Page: https://anthenamatrix.com
ai-security,Cyber-Security Bible! Theory and Tools, Kali Linux, Penetration Testing, Bug Bounty, CTFs, Malware Analysis, Cryptography, Secure Programming, Web App Security, Cloud Security, Devsecops, Ethical Hacking, Social Engineering, Privacy, Incident Response, Threat Assestment, Personal Security, Ai Security, Android Security, Iot Security, Standards.
User: cyberalbsecop
ai-security,MINOTAUR: The STRONGEST Secure Prompt EVER! Prompt Security Challenge, Impossible GPT Security, Prompts Cybersecurity, Prompting Vulnerabilities, FlowGPT, Secure Prompting, Secure LLMs, Prompt Hacker, Cutting-edge Ai Security, Unbreakable GPT Agent, Anti GPT Leak, System Prompt Security.
User: cyberalbsecop
Home Page: https://flowgpt.com/p/minotaur-impossible-security-challenge
ai-security,MSc Dissertation: Ensemble neural network for static malware classification using multiple representations
User: devasworski
ai-security,pytorch implementation of Parametric Noise Injection for adversarial defense
User: elliothe
ai-security,🐢 Open-Source Evaluation & Testing for LLMs and ML models
Organization: giskard-ai
Home Page: https://docs.giskard.ai
ai-security,Performing website vulnerability scanning using OpenAI technologie
User: hacking-notes
ai-security,[IJCAI 2024] 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.
Organization: hku-tasr
Home Page: https://khchow.com/Imperio/
ai-security,IDVoice + ChatGPT iOS demo app
Organization: idrnd
ai-security,Python SDK for IvyCheck
Organization: ivycheck
Home Page: https://ivycheck.com/
ai-security,A centralized resource for technical professionals looking to establish a strategy for implementing security and responsible AI practices on Azure
User: jamesmcroft
Home Page: https://jamesmcroft.github.io/Security-and-Responsible-AI-Guide/
ai-security,AntiNex python client for training and using pre-trained deep neural networks with JWT authentication
User: jay-johnson
Home Page: http://antinex.readthedocs.io/en/latest/
ai-security,Network exploit detection using highly accurate pre-trained deep neural networks with Celery + Keras + Tensorflow + Redis
User: jay-johnson
Home Page: http://antinex.readthedocs.io/en/latest/
ai-security,Datasets for training deep neural networks to defend software applications
User: jay-johnson
Home Page: http://antinex.readthedocs.io/en/latest/
ai-security,Manage and use pre-trained deep neural networks with a common interface for build, compile, fit, evaluate, kfold, cross validate, and predict lifecycle phases using Keras and Tensorflow
User: jay-johnson
Home Page: http://antinex.readthedocs.io/en/latest/
ai-security,Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform
User: jay-johnson
Home Page: http://antinex.readthedocs.io/en/latest/
ai-security,A curated list of useful resources that cover Offensive AI.
User: jiep
Home Page: https://jiep.github.io/offensive-ai-compilation/
ai-security,Uncertainty guided Federated Learning
User: kppw99
ai-security,ATLAS tactics, techniques, and case studies data
Organization: mitre-atlas
Home Page: https://atlas.mitre.org
ai-security,The Golang library for Modzy Machine Learning Operations (MLOps) Platform
Organization: modzy
ai-security,The official Java library for the Modzy Machine Learning Operations (MLOps) Platform
Organization: modzy
ai-security,The official JavaScript SDK for the Modzy Machine Learning Operations (MLOps) Platform.
Organization: modzy
ai-security,Python library for Modzy Machine Learning Operations (MLOps) Platform
Organization: modzy
ai-security,Evaluation & testing framework for computer vision models
Organization: moonwatcher-ai
Home Page: https://www.moonwatcher.ai/
ai-security,RuLES: a benchmark for evaluating rule-following in language models
User: normster
Home Page: https://eecs.berkeley.edu/~normanmu/llm_rules
ai-security,Neural networks, but malefic! 😈
User: pagiux
ai-security,dga domain detected by lstm model
User: pengcao
ai-security,The implementation of our paper 'Visual Privacy Protection via Mapping Distortion', accepted by the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2021.
User: perdonliu
ai-security,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.
Organization: reds-lab
ai-security,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.
Organization: reds-lab
Home Page: https://arxiv.org/pdf/2204.05255.pdf
ai-security,Code for "Adversarial attack by dropping information." (ICCV 2021)
User: rjduan
ai-security,Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3
User: sachink1729
ai-security,A prompt defence is a multi-layer defence that can be used to protect your applications against prompt injection attacks.
Organization: safetorun
Home Page: https://promptshield.readme.io
ai-security,安全手册,企业安全实践、攻防与安全研究知识库
Organization: sec-cafe
Home Page: https://sec.cafe/handbook
ai-security,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.
Organization: the-art-of-hacking
Home Page: https://hackerrepo.org
ai-security,A list of backdoor learning resources
User: thuyimingli
ai-security,A curated collection of the latest academic research papers and developments in AI Security. This repository aims to provide a comprehensive source for researchers and enthusiasts to stay updated on AI Security trends and findings. Contributions welcome!
User: tsmotlp
ai-security,Do you want to learn AI Security but don't know where to start ? Take a look at this map.
User: wearetyomsmnv
ai-security,Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
User: yizeng623
Home Page: https://openreview.net/forum?id=MeeQkFYVbzW
ai-security,
User: yuweisunn
ai-security,Official code for paper: Z. Zhang, X. Wang, J. Huang and S. Zhang, "Analysis and Utilization of Hidden Information in Model Inversion Attacks," in IEEE Transactions on Information Forensics and Security, doi: 10.1109/TIFS.2023.3295942
User: zhangzp9970
Home Page: https://doi.org/10.1109/TIFS.2023.3295942
ai-security,Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
User: zhangzp9970
ai-security,A curated list of academic events on AI Security & Privacy
User: zhengyuzhao
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