4 papers
ADR: An Agentic Detection System for Enterprise Agentic AI Security
Chenning Li, Pan Hu, Justin Xu +9
We present the Agentic AI Detection and Response (ADR) system, the first large-scale, production-proven enterprise framework for securing AI agents operating through the Model Cont…
Prediction-Guided Control in Data Center Networks
Kevin Zhao, Chenning Li, Anton A. Zabreyko +7
In this paper, we design, implement, and evaluate Polyphony, a system to give network operators a new way to control and reduce the frequency of poor tail latency events in multi-c…
Concorde: Fast and Accurate CPU Performance Modeling with Compositional Analytical-ML Fusion
Arash Nasr-Esfahany, Mohammad Alizadeh, Victor Lee +9
Cycle-level simulators such as gem5 are widely used in microarchitecture design, but they are prohibitively slow for large-scale design space explorations. We present Concorde, a n…
m4: A Learned Flow-level Network Simulator
Chenning Li, Anton A. Zabreyko, Arash Nasr-Esfahany +4
Flow-level simulation is widely used to model large-scale data center networks due to its scalability. Unlike packet-level simulators that model individual packets, flow-level simu…