Server Scanner detect rootkit and backdoor
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Updated
Jun 21, 2024 - JavaScript
Server Scanner detect rootkit and backdoor
Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders
Surge 专用的网络安全规则集,聚焦应用层与传输层防御,涵盖 DNS 污染、APT 攻击源、SDK 回传监听、后门通信、PCDN 链路传输与 C2 控制器等潜在威胁,同时扩展对全球主流广告、行为追踪和成人内容平台的域名封锁,旨在实现 iOS / macOS 本地流量的精准识别与高效阻断。
BackdoorMBTI is an open source project expanding the unimodal backdoor learning to a multimodal context. We hope that BackdoorMBTI can facilitate the analysis and development of backdoor defense methods within a multimodal context.
This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.
[ECCV'24] T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models
[CCS'24] Official Implementation of "Fisher Information guided Purification against Backdoor Attacks"
Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
Unofficial implementation of the detector cleanse in the paper "BadDet: Backdoor Attacks on Object Detection."
Official PyTorch implementation of "Scanning Trojaned Models Using Out-of-Distribution Samples" (NeurIPS 2024)
Rubber Ducky is an awareness initiative focused on educating individuals and organizations about potential cybersecurity threats that can be delivered through USB devices, particularly targeting issues like ransomware, backdoors, and keyloggers. Leveraging the concept of Bad USB and the functionality of Rubber Ducky USBs.
GoBack is a simple tool for "Goleki backdoor"
Solution for the Third Challenge of the Second Phase in the Rayan International AI Contest: Backdoored Model Detection.
Awesome-DL-Security-and-Privacy-Papers
This repository contains the code for the paper titled "GenLLMGuard: Detecting Backdoors in LLMs for Open-Ended Text Generation Through Trigger Inversion".
DEB: A Two-Stage Backdoor Defense for Split Neural Network-Based Vertical Federated Learning
🚪️🪨️🌐️ The official source repository for the website for the Doorcrete project, Doorcrete is currently just a concept: Doorcrete breaks down surveillance/telemetry back doors, and fills them with binary concrete.
Trojan Horse Hunt in Time Series Forecasting(ESA) rank:82
SaveX is a Python library crafted to bolster the security of file uploads within web applications. With an emphasis on mitigating prevalent vulnerabilities associated with file handling, SaveX furnishes sturdy sanitization and validation capabilities to ensure that uploaded files are safe for utilization within your application.
Monitoring Your User Uploader Activity
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