USC Fortis Lab
Foundations Of Robust Trustworthy Intelligent Systems Lab
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- United States of America
- https://viterbi-web.usc.edu/~yzhao010/lab
- yzhao010@usc.edu
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- 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 - 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 - 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 - 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 - 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
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