activity
20202022
most citedPop Quiz! Can a Large Language Model Help With Reverse Engineering?

13 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE202213 cited

Pop Quiz! Can a Large Language Model Help With Reverse Engineering?

Hammond Pearce, Benjamin Tan, Prashanth Krishnamurthy +3

Large language models (such as OpenAI's Codex) have demonstrated impressive zero-shot multi-task capabilities in the software domain, including code explanation. In this work, we e…

cs.SE20212 cited

Runtime Interchange for Adaptive Re-use of Intelligent Cyber-Physical System Controllers

Hammond Pearce, Xin Yang, Srinivas Pinisetty +1

Cyber-Physical Systems (CPSs) such as those found within autonomous vehicles are increasingly adopting Artificial Neural Network (ANN)-based controllers. To ensure the safety of th…

cs.CR2021

FLAW3D: A Trojan-based Cyber Attack on the Physical Outcomes of Additive Manufacturing

Hammond Pearce, Kaushik Yanamandra, Nikhil Gupta +1

Additive Manufacturing (AM) systems such as 3D printers use inexpensive microcontrollers that rarely feature cybersecurity defenses. This is a risk, especially given the rising thr…

cs.SE2020

DAVE: Deriving Automatically Verilog from English

Hammond Pearce, Benjamin Tan, Ramesh Karri

While specifications for digital systems are provided in natural language, engineers undertake significant efforts to translate them into the programming languages understood by co…

cs.LG20202 cited

Designing Neural Networks for Real-Time Systems

Hammond Pearce, Xin Yang, Partha S. Roop +2

Artificial Neural Networks (ANNs) are increasingly being used within safety-critical Cyber-Physical Systems (CPSs). They are often co-located with traditional embedded software, an…