# Outline - MS2: WNN Verifier - MS3: Benchmarking - Outlook: MS4 --- ## MS2: WNN Verifier - Added features to the WNN CLI to: 1. Deploy the EVM Verifier 2. Submit proofs to the EVM Verifier - Components are packed into a library for easy reuse - [Deployed](https://sepolia.etherscan.io/address/0x956e9d9fe585b93926694285e29c70dd08caa9ad) & [Tested](https://sepolia.etherscan.io/tx/0x13dbb8dabf9f142c66718f4ada7feb02c2ed09b10d1aae3a2285d3d7a0067e91) Verifier for MNIST-Small on Sepolia - Proof Verification Cost ~ 610,000 Gas --- ## MS3: Benchmarking - Benchmarked against EZKL and Daniel Kang's ZKML - Measured **Prooving Time**, **Accuracy** and **Proof Size** - Overall: - WNN is comparable to existing DNN-based approaches in the low-accuracy regime. - In high accuracy, the WNN are loosing the battle drastically --- ## MS3: Benchmarking <!-- Source for this chart: https://docs.google.com/spreadsheets/d/1R-jxOnfU-FgiWcPe7X8Piegj0H-OTTTx8e3vwWGbMCQ/edit?usp=sharing -->  --- ### Verdict: WNNs might still have their place in situations where extremely fast proving time is essential and the task is simple, perhaps simpler than image recognition. --- ## Outlook: MS4 ### Improve the accuracy/performance trade off for WNN --- ## Outlook: MS4 1. Hash Function Optimisation 2. Multi-Layer WNN 3. Lookup Folding 4. DNN to select permutation --- ### Thank you! :sheep: