6 papers
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…
HarmNet: A Framework for Adaptive Multi-Turn Jailbreak Attacks on Large Language Models
Sidhant Narula, Javad Rafiei Asl, Mohammad Ghasemigol +2
Large Language Models (LLMs) remain vulnerable to multi-turn jailbreak attacks. We introduce HarmNet, a modular framework comprising ThoughtNet, a hierarchical semantic network; a…
NEXUS: Network Exploration for eXploiting Unsafe Sequences in Multi-Turn LLM Jailbreaks
Javad Rafiei Asl, Sidhant Narula, Mohammad Ghasemigol +2
Large Language Models (LLMs) have revolutionized natural language processing but remain vulnerable to jailbreak attacks, especially multi-turn jailbreaks that distribute malicious…
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference
Parsa Ghazvinian, Robert Podschwadt, Prajwal Panzade +2
Due to the extensive application of machine learning (ML) in a wide range of fields and the necessity of data privacy, privacy-preserving machine learning (PPML) solutions have rec…