14 papers
TabQueryBench: A Query-Centric Benchmark for Synthetic Tabular Data
Jialin Zhang, Fenghao Dong, Yajie Zhou +2
Synthetic tabular data support use cases like data sharing, model development under access restrictions, and rapid prototyping of analytical workflows. Modern generative models are…
Agent-Assisted Side-Channel Attacks on Non-Prefix KV Cache in RAG
He Sun, Shinan Liu, Siyuan Ma +3
Modern Large Language Model (LLM) serving engines increasingly rely on Retrieval-Augmented Generation (RAG) and non-prefix Key-Value (KV) cache fusion to accelerate long-context, m…
TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
Junhui Ding, Xinchen Zhang, Xiaohui Xie +1
Critical networking workflows require high-fidelity packet captures (PCAPs) for testing, security analysis, and protocol validation, not just statistical flow-level summaries. Rece…
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams
Ted Shaowang, Shinan Liu, Jonatas Marques +2
Machine learning can analyze vast amounts of data generated by IoT devices to identify patterns, make predictions, and enable real-time decision-making. By processing sensor data,…
PACC: Protocol-Aware Cross-Layer Compression for Compact Network Traffic Representation
Zhaochen Guo, Tianyufei Zhou, Honghao Wang +2
Network traffic classification is a core primitive for network security and management, yet it is increasingly challenged by pervasive encryption and evolving protocols. A central…
NetSSM: Multi-Flow and State-Aware Network Trace Generation using State Space Models
Andrew Chu, Xi Jiang, Shinan Liu +4
Access to raw network traffic data is essential for many computer networking tasks, from traffic modeling to performance evaluation. Unfortunately, this data is scarce due to high…