Pseudorandomness describes sequences of numbers that appear random but are generated by a deterministic algorithm. While not truly random, these sequences exhibit statistical properties similar to genuine randomness, making them suitable for many computational applications. In cryptography and blockchain, pseudorandom number generators (PRNGs) are utilized for various functions, including key generation, lottery systems, and selecting validators. Their predictability under specific conditions requires careful implementation to maintain security.
Context
The discussion around pseudorandomness in crypto often addresses its critical role in cryptographic security and fair distribution mechanisms within decentralized applications. A key debate involves ensuring the unpredictability and tamper-resistance of PRNGs used in blockchain protocols to prevent manipulation. Future developments will likely include the integration of verifiable random functions (VRFs) and other cryptographic primitives to enhance the security and trustworthiness of on-chain randomness.
This research introduces Pseudorandom Error-Correcting Codes (PRCs), a novel cryptographic primitive providing provable guarantees for watermarking generative AI models.
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