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71 repositories
IDEAL
PublicTimeRadar
Public[KDD 2026] Official implementation of KDD'26 paper "TimeRadar: A Domain-Rotatable Foundation Model for Time Series Anomaly Detection".github
PublicVerifyMAS
PublicGraphNC
Public- A curated list of papers & resources on anomaly detection foundation models using large language model, vision-language model, graph foundation model, time seri…
- A collection of papers on LLM/LVLM hallucination evaluation, detection, and mitigation
F2DC
PublicOfficial implementation of CVPR'26 paper 'Domain-Skewed Federated Learning with Feature Decoupling and Calibration'.RobustMLLMJudge
Public- Official repository for 2025 TKDE survey paper "Deep Graph Anomaly Detection: A Survey and New Perspectives", including diverse types of resources for graph ano…
MTAttack
Public[AAAI 2026] Official Implementation of "MTAttack: Multi-Target Backdoor Attacks against Large Vision-Language Models"PromptDyG
PublicAnomalyAgent
PublicFedHPro
PublicRHO
Public[NeurIPS 2025] Official PyTorch implementation of NeurIPS'25 paper ''Semi-supervised Graph Anomaly Detection via Robust Homophily Learning''VLAForge
PublicIMPACT
PublicSEMPO
Public[NeurIPS 2025] Official implementation of "SEMPO: Lightweight Foundation Models for Time Series Forecasting"InCTRLv2
PublicFAPrompt
PublicOfficial PyTorch implementation of ICCV'25 paper "Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection".PReNet
PublicOfficial implementation of KDD'23 paper "Deep Weakly-supervised Anomaly Detection"HaMI
Public[NeurIPS 2025] Official implementation for ''Robust Hallucination Detection in LLMs via Adaptive Token Selection'' https://arxiv.org/abs/2504.07863APT
Public[ICCV 2025] Official implementation for "Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection"- ADRepository: Real-world anomaly detection datasets, including tabular data (categorical and numerical data), time series data, graph data, image data, and vide…
AnomalyGFM
PublicOfficial PyTorch implementation of KDD2025 paper "AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection"GGAD
PublicOfficial implementation for NeurIPS'24 paper "Generative Semi-supervised Graph Anomaly Detection"NSReg
PublicOfficial PyTorch implementation of ICLR'25 paper "Open-Set Graph Anomaly Detection via Normal Structure Regularisation"InCTRL
PublicOfficial implementation of CVPR'24 paper 'Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts'.WinCLIP
PublicImplementation of CVPR'23 paper "WinCLIP: Zero-/few-shot anomaly classification and segmentation". It successfully reproduces the same zero-/few-shot AD perform…UNPrompt
PublicOfficial Code for IJCAI25 paper "Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts"
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