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Busy Since Joined USC
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Busy Since Joined USC

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@pygod-team @Open-Source-ML @USC-FORTIS

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yzhao062/README.md

Hi there, I'm Yue Zhao (赵越) 👋

😄 I am an Assistant Professor at USC Computer Science and a faculty member of the USC Machine Learning Center. I lead the FORTIS Lab (Foundations for Observable, Robust, and Trustworthy Intelligent Systems). More information can be found on my homepage.


External Affiliation Disclosure:
As of 02/01/2026, Dr. Zhao does not currently hold any industry employment, consulting, or advisory appointments.


🌱 Research

My research focuses on auditing, securing, and deploying reliable AI systems, with an emphasis on foundation models and agentic systems operating in real-world environments.

I study how foundation models, tool-using agents, and multi-agent systems can produce traceable evidence of their behavior, support meaningful audit after deployment, satisfy checkable safety and policy requirements, and operate reliably in high-stakes settings.


📫 Contact


💡 I am the creator/core developer of several widely used ML systems including PyOD, PyGOD, ADBench, Aegis, and TrustLLM, which together have 35M+ downloads and 22K+ GitHub stars. These tools are used across academia, industry, and government, including by NASA, Tesla, Morgan Stanley, and the U.S. Senate.

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  1. pyod pyod Public

    A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

    Python 9.8k 1.5k

  2. USC-FORTIS/AD-AGENT USC-FORTIS/AD-AGENT Public

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

    Python 95 31

  3. HeadyZhang/agent-audit HeadyZhang/agent-audit Public

    Static security scanner for LLM agents — prompt injection, MCP config auditing, taint analysis. 49 rules mapped to OWASP Agentic Top 10 (2026). Works with LangChain, CrewAI, AutoGen.

    Python 122 12

  4. Justin0504/Aegis Justin0504/Aegis Public

    Runtime policy enforcement for AI agents. Cryptographic audit trail, human-in-the-loop approvals, kill switch. Zero code changes.

    TypeScript 277 24

  5. anomaly-detection-resources anomaly-detection-resources Public

    Anomaly detection related books, papers, videos, and toolboxes. Last update late 2025 for LLM and VLM works!

    Python 9.2k 1.8k

  6. USC-FORTIS/AD-LLM USC-FORTIS/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 42 8