1 citations · 1 across the 5 of their papers we have counts for
5 papers
AESOP: Adversarial Execution-path Selection to Overload Deep Learning Pipelines
Tingxi Li, Mingfang Ji, Ravishka Shemal Rathnasuriya +3
Modern machine learning deployments increasingly compose specialized models into dynamic inference pipelines, where upstream components produce intermediate predictions that determ…
Impact Analysis of Inference Time Attack of Perception Sensors on Autonomous Vehicles
Hanlin Chen, Simin Chen, Wenyu Li +2
As a safety-critical cyber-physical system, cybersecurity and related safety issues for Autonomous Vehicles (AVs) have been important research topics for a while. Among all the mod…
PPM: Automated Generation of Diverse Programming Problems for Benchmarking Code Generation Models
Simin Chen, Xiaoning Feng, Xiaohong Han +2
In recent times, a plethora of Large Code Generation Models (LCGMs) have been proposed, showcasing significant potential in assisting developers with complex programming tasks. Ben…
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study
Yufei Li, Simin Chen, Yanghong Guo +3
Large Language Models (LLMs) have been widely employed in programming language analysis to enhance human productivity. Yet, their reliability can be compromised by various code dis…
RT-LM: Uncertainty-Aware Resource Management for Real-Time Inference of Language Models
Yufei Li, Zexin Li, Wei Yang +1
Recent advancements in language models (LMs) have gained substantial attentions on their capability to generate human-like responses. Though exhibiting a promising future for vario…