1 citations · 2 across the 3 of their papers we have counts for
4 papers
LEAP: Learning Efficient Action Proposals For LLM Agents
Zhen Xu, Qizheng Zhang, Gerry Wan +2
LLM agents are known to be slow in rollouts. An agent completes a task one step at a time. At each step, it reasons and then chooses an action to execute. The next step and action…
Clid: Identifying TLS Clients With Unsupervised Learning on Domain Names
Ihyun Nam, Gerry Wan
In this paper, we introduce Clid, a Transport Layer Security (TLS) client identification tool based on unsupervised learning on domain names in the server name indication (SNI) fie…
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
Gerry Wan, Shinan Liu, Francesco Bronzino +2
Machine learning has shown tremendous potential for improving the capabilities of network traffic analysis applications, often outperforming simpler rule-based heuristics. However,…
FlowWise: Stateful Fast-Slow Model Serving for Streaming Traffic Intelligence
Shinan Liu, Ted Shaowang, Gerry Wan +4
Network traffic analysis in cloud and internet service provider (ISP) networks increasingly relies on machine learning (ML) models, as encryption and service consolidation make rul…