20 citations · 50 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
BioShield: A Context-Aware Firewall for Securing Bio-LLMs
Protiva Das, Sovon Chakraborty, Sidhant Narula +5
The rapid advancement of Large Language Models (LLMs) in biological research has significantly lowered the barrier to accessing complex bioinformatics knowledge, ex perimental desi…
DCInject: Persistent Backdoor Attacks via Frequency Manipulation in Personal Federated Learning
Nahom Birhan, Daniel Wesego, Dereje Shenkut +2
Personalized federated learning (PFL) creates client-specific models to handle data heterogeneity. Previously, PFL has been shown to be naturally resistant to backdoor attack propa…