Dark Market with TFHE-rs
Blog post from Zama
The blog post outlines a tutorial on implementing a dark market application using the Fully Homomorphic Encryption (FHE) library TFHE-rs, as part of the Zama Bounty Program. It describes the process of creating a volume-matching algorithm for a marketplace where buy and sell orders are not publicly visible until fulfilled. The algorithm is initially implemented in plain Rust, calculating the transacted volume based on the minimum of total buy and sell volumes and updating the input lists accordingly. This approach is then adapted to use TFHE-rs to maintain privacy and security, requiring a 16-bit message space to avoid overflow. The tutorial further introduces optimizations by parallelizing operations to enhance performance, employing Rust's Rayon library for concurrent execution of vector sums and order matching. Additionally, a modified version of the algorithm is presented, which allows for more parallel processing by using a prefix sum array to remove dependencies between orders. The tutorial concludes with instructions for running different implementations and encourages participation in the Zama Bounty Program to further explore and contribute to FHE advancements.
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