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[USENIX Security '24] Dataset associated with real-world malicious LLM applications, including 45 malicious prompts for generating malicious content, malicious responses from LLMs, 182 real-world j…
An overview of LLMs for cybersecurity.
Awesome-Jailbreak-on-LLMs is a collection of state-of-the-art, novel, exciting jailbreak methods on LLMs. It contains papers, codes, datasets, evaluations, and analyses.
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
🌐 Identify the technologies powering any website. This is a fork of the now deleted Wappalyzer project by @AliasIO and community.
🎏 Python implementation of link analysis algorithm.
这是作者的系列网络安全自学教程，主要是关于网安工具和实践操作的在线笔记，希望对大家有所帮助，学无止境，加油。
Accompanying documentation, images, source code and other stuff from the cybernomad.online blog
Code & supplementary material of the paper Label Inference Attacks Against Federated Learning on Usenix Security 2022.
A demo of vertical federated learning on simple datasets
An Unsupervised Detection Framework for Chinese Jargons in the Darknet
DistFL: Distribution-aware Federated Learning for Mobile Scenarios
Detecting and analyzing deep learning usage on smartphone apps
Robustness of on-device Models: AdversarialAttack to Deep Learning Models on Android Apps
Smart App Attack: Hacking Deep Learning Models in Android Apps
Chinese Text Demosaicing based on Seq2Seq
Deep Puzzling is an AI-based framework for concealing attack intentions and protecting codes, which prevents crackers from obtaining critical codes.
PyTorch android examples of usage in applications
Robust evasion attacks against neural network to find adversarial examples