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Server Scanner detect rootkit and backdoor

Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders

Generate deterministic semantic fingerprints for Go functions. Detect xz-style backdoors and verify semantic equivalence using Static Single Assignment (SSA) analysis and Scalar Evolution.

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"

[TPAMI 2025] 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.

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

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".

Claude Code skill for FiveM resource auditing — security, performance, compatibility. Backdoor/RAT detection, SQLi, duplication, NUI exploitation, state bags. Supports ESX, QBCore, QBox, ox_lib, ND_Core.

General Test-Time Backdoor Detection in Split Neural Network-Based Vertical Federated Learning