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

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# 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?**