Obsidian/Zettelkasten/Literature Notes/Notes on Papers/Reluplex- An Efficient SMT Solver for Verifying Deep Neural Networks-Note.md

First Pass

Category: Method

Context: Expanding SMT solvers to work with ReLU functions. They then applied this technology to a prototype DNN for a ACAS Xu (aircraft collision avoidance system for Autonomous Aircraft) system

Correctness: Seems good to me. Need to do deeper dive, can't really say correct or not at this point.

Contributions: Reluplex: a SMT algorithim that incorporates functionality for ReLU functions commonly found in DNN. This drastically impacts the types of networks that can be verified in scale.

Clarity: Well written and clear.

Second Pass

What is the main thrust?

What is the supporting evidence?

What are the key findings?

Third Pass

Recreation Notes:

Hidden Findings:

Weak Points? Strong Points?