ACK-J MAGIC Grant Final Update!

MoneroMonero
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# Non-Technical tl;dr This security audit of Monero's ring signature resilience to AI-attacks proposes three different models, the best of which achieved 13.3% accuracy predicting the true spend of mainnet transactions. This revealed that blockchain metadata could provide a marginal improvement of 4.3% greater than random guessing. To hopefully inspire future works, the code to collect, process, and train ML/DL models, as well as the datasets used, are freely available on the [Github repo](https://github.com/ACK-J/Monero-Dataset-Pipeline). The final report, containing all technical details, is also published on the GitHub repo and can be accessed [HERE.](https://github.com/ACK-J/Monero-Dataset-Pipeline/blob/main/Lord_of_the_Rings__An_Empirical_Analysis_of_Monero_s_Ring_Signature_Resilience_to_Artificially_Intelligent_Attacks.pdf) `If you would like to read the full technical update please refer to the following Github post:` [CLICK HERE!](https://github.com/MAGICGrants/Monero-Fund/issues/15#issuecomment-1233555259)