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USC Fortis Lab

Foundations Of Robust Trustworthy Intelligent Systems Lab

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  1. AD-LLM AD-LLM Public

    [ACL Findings 2025] A benchmark for anomaly detection using large language models. It supports zero-shot detection, data augmentation, and model selection, with scripts and data for GPT-4 and Llama…

    Python 36 8

  2. NLP-ADBench NLP-ADBench Public

    [EMNLP Findings 2025]. NLP-ADBench is a comprehensive benchmarking tool designed for Anomaly Detection in Natural Language Processing (NLP).

    Python 20

Repositories

Showing 5 of 5 repositories
  • AD-LLM Public

    [ACL Findings 2025] A benchmark for anomaly detection using large language models. It supports zero-shot detection, data augmentation, and model selection, with scripts and data for GPT-4 and Llama experiments.

    USC-FORTIS/AD-LLM’s past year of commit activity
    Python 36 MIT 8 0 0 Updated Oct 9, 2025
  • NLP-ADBench Public

    [EMNLP Findings 2025]. NLP-ADBench is a comprehensive benchmarking tool designed for Anomaly Detection in Natural Language Processing (NLP).

    USC-FORTIS/NLP-ADBench’s past year of commit activity
    Python 20 MIT 0 0 0 Updated Oct 9, 2025
  • AD-AGENT Public

    A multi-agent framework to fully automate anomaly detection in different modalities, tabular, graph, time series, and more (work in progress)!

    USC-FORTIS/AD-AGENT’s past year of commit activity
    Python 82 BSD-2-Clause 29 0 0 Updated Jun 1, 2025
  • CSCI566-S25 Public Forked from USC-FORTIS/CSCI566-S24

    Official Website for CSCI 566 Deep Learning and its Applications @ USC Spring 2025

    USC-FORTIS/CSCI566-S25’s past year of commit activity
    HTML 1 1 0 0 Updated Apr 11, 2025
  • CSCI566-S24 Public

    Official Website for CSCI 566 Deep Learning and its Applications @ USC Spring 2024

    USC-FORTIS/CSCI566-S24’s past year of commit activity
    HTML 2 1 0 0 Updated Apr 5, 2024

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