2 papers
cs.CR2026
When Agents Remember Too Much: Memory Poisoning Attacks on Large Language Model Agents
George Torres, Sharad Shrestha, Satyajayant Misra
Personal AI agents powered by large language models can reason and act using available tools to access emails, manage calendars, and push code to remote repositories, all with mini…
cs.CR2025
LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation
Abhinav Kumar, George Torres, Noah Guzinski +6
The privacy vulnerabilities of the federated learning (FL) paradigm, primarily caused by gradient leakage, have prompted the development of various defensive measures. Nonetheless,…