Surge 个人数字防火墙规则集,帮助用户在 iOS 与 macOS 本地实现流量的精准识别与分类,并根据自身需求自主设定流量策略。支持简体中文、繁體中文与 English 三种语言,助力全球用户快速部署与灵活使用。
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Updated
Feb 19, 2026
Surge 个人数字防火墙规则集,帮助用户在 iOS 与 macOS 本地实现流量的精准识别与分类,并根据自身需求自主设定流量策略。支持简体中文、繁體中文与 English 三种语言,助力全球用户快速部署与灵活使用。
Server Scanner detect rootkit and backdoor
Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders
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.
Generate deterministic semantic fingerprints for Go functions. Detect xz-style backdoors and verify semantic equivalence using Static Single Assignment (SSA) analysis and Scalar Evolution.
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"
Unofficial implementation of the detector cleanse in the paper "BadDet: Backdoor Attacks on Object Detection."
[TPAMI 2025] Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models
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.
Educational research demonstrating weight manipulation attacks in SafeTensors models. Proves format validation alone is insufficient for AI model security.
GoBack is a simple tool for "Goleki backdoor"
Solution for the Third Challenge of the Main Phase in the Rayan International AI Contest: Backdoored Model Detection.
Awesome-DL-Security-and-Privacy-Papers
General Test-Time Backdoor Detection in Split Neural Network-Based Vertical Federated Learning
DEB: A Two-Stage Backdoor Defense for Split Neural Network-Based Vertical Federated Learning
This repository contains the code for the paper titled "GenLLMGuard: Detecting Backdoors in LLMs for Open-Ended Text Generation Through Trigger Inversion".
🚪️🪨️🌐️ 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.
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