2 citations · 2 across the 2 of their papers we have counts for
4 papers
COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol (MCP) Layers
Nahom Birhan, Mehrdad Rostamzadeh, Sidhant Narula +3
Large language models increasingly mediate tool use in Model Context Protocol (MCP) systems, where adversarial influence may enter through user instructions, tool schemas, tool out…
TrustShiftProbe: Characterizing, Benchmarking, and Defending Staged Trust Attacks on MCP Servers
Mehrdad Rostamzadeh, Sidhant Narula, Mohammad Ghasemigol +1
The Model Context Protocol (MCP) has emerged as the standard layer connecting Large Language Model agents to external tool backends. This openness introduces a severe server-side t…
MCP-DPT: A Defense-Placement Taxonomy and Coverage Analysis for Model Context Protocol Security
Mehrdad Rostamzadeh, Sidhant Narula, Nahom Birhan +2
The Model Context Protocol (MCP) enables large language models (LLMs) to dynamically discover and invoke third-party tools, significantly expanding agent capabilities while introdu…
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms
Sasan Barak, Mahdi Nasiri, Mehrdad Rostamzadeh
One of the challenging questions in time series forecasting is how to find the best algorithm. In recent years, a recommender system scheme has been developed for time series analy…