5 citations · 9 across the 4 of their papers we have counts for
4 papers
When the Manual Lies: A Realistic Benchmark to Evaluate MCP Poisoning Attacks for LLM Agents
Shi Liu, Xuehai Tang, Xikang Yang +4
The rise of tool-using Large Language Model (LLM) agents, standardized by protocols like the Model Context Protocol (MCP), has unlocked unprecedented autonomous execution capabilit…
AccUDNN: A GPU Memory Efficient Accelerator for Training Ultra-deep Neural Networks
Jinrong Guo, Wantao Liu, Wang Wang +4
Typically, Ultra-deep neural network(UDNN) tends to yield high-quality model, but its training process is usually resource intensive and time-consuming. Modern GPU's scarce DRAM ca…
DualTable: A Hybrid Storage Model for Update Optimization in Hive
Songlin Hu, Wantao Liu, Tilmann Rabl +6
Hive is the most mature and prevalent data warehouse tool providing SQL-like interface in the Hadoop ecosystem. It is successfully used in many Internet companies and shows its val…
DGFIndex for Smart Grid: Enhancing Hive with a Cost-Effective Multidimensional Range Index
Yue Liu, Songlin Hu, Tilmann Rabl +5
In Smart Grid applications, as the number of deployed electric smart meters increases, massive amounts of valuable meter data is generated and collected every day. To enable reliab…