1 citations · 1 across the 5 of their papers we have counts for
6 papers
MetaPermit: Scalable and Auditable Access Control for AI Agents via LLM-Inferred Meta-Attributes
Hanzhang Ma, Ali Hariri, Tianxiang Shen +9
The rise of autonomous AI agents equipped with tools has introduced significant security risks, ranging from unintended tool misuse to adversarial manipulation through Indirect Pro…
EnerInfer: Energy-Aware On-Device LLM Inference
Bohua Zou, Nian Liu, Binqi Sun +6
On-device LLM inference is increasingly attractive for privacy-preserving, reliable, and cost-effective deployment, yet its energy and thermal costs remain a critical bottleneck. E…
ProfInfer: An eBPF-based Fine-Grained LLM Inference Profiler
Bohua Zou, Debayan Roy, Dhimankumar Yogesh Airao +4
As large language models (LLMs) move from research to production, understanding how inference engines behave in real time has become both essential and elusive. Unlike general-purp…
Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems
Binqi Sun, Zhihang Wei, Andrea Bastoni +5
Memory bandwidth regulation and cache partitioning are widely used techniques for achieving predictable timing in real-time computing systems. Combined with partitioned scheduling,…
Trace-enabled Timing Model Synthesis for ROS2-based Autonomous Applications
Hazem Abaza, Debayan Roy, Shiqing Fan +2
Autonomous applications are typically developed over Robot Operating System 2.0 (ROS2) even in time-critical systems like automotive. Recent years have seen increased interest in d…
Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not?
Binqi Sun, Debayan Roy, Tomasz Kloda +3
Cache partitioning techniques have been successfully adopted to mitigate interference among concurrently executing real-time tasks on multi-core processors. Considering that the ex…