3 papers
cs.CR2026
Cascade: Composing Software-Hardware Attack Gadgets for Adversarial Threat Amplification in Compound AI Systems
Sarbartha Banerjee, Prateek Sahu, Anjo Vahldiek-Oberwagner +2
Rapid progress in generative AI has given rise to Compound AI systems - pipelines comprised of multiple large language models (LLM), software tools and database systems. Compound A…
cs.CR2024
SoK: A Systems Perspective on Compound AI Threats and Countermeasures
Sarbartha Banerjee, Prateek Sahu, Mulong Luo +3
Large language models (LLMs) used across enterprises often use proprietary models and operate on sensitive inputs and data. The wide range of attack vectors identified in prior res…
cs.CR2024
ConfusedPilot: Confused Deputy Risks in RAG-based LLMs
Ayush RoyChowdhury, Mulong Luo, Prateek Sahu +2
Retrieval augmented generation (RAG) is a process where a large language model (LLM) retrieves useful information from a database and then generates the responses. It is becoming p…