ChainCatcher reported that Ethereum co-founder Vitalik Buterin has published a new article introducing Diamond iO, a cryptographic obfuscation technique aimed at fixing one of the biggest problems in traditional indistinguishability obfuscation: extremely poor efficiency.
The proposal is designed to let programs run while hiding their internal logic and key data. Traditional iO has long been viewed as a powerful privacy-preserving tool, but its computational cost has made it close to impossible to use in practice. In the article, Diamond iO is described as improving efficiency from “cosmic-scale time” to “planet-scale time” by using more aggressive new cryptographic assumptions, bringing the idea closer to real-world use.
How Diamond iO is built
Diamond iO is constructed using techniques including attribute-based encryption (ABE) and fully homomorphic encryption (FHE). The basic design is to encrypt a program so that users can run the encrypted version and obtain the correct output, while being unable to inspect the internal code or any hidden private keys.
The scheme also introduces a new input-encoding mechanism and a conditional decryption method. According to the article, those changes help reduce computational complexity while still concealing the program’s logic.
Use cases mentioned in the article
- Protecting programs that contain private keys
- Enabling secure software licensing
- Building trustless cryptographic services
- Supporting stronger privacy protections for blockchain and artificial intelligence systems
Still an early-stage research effort
But Diamond iO remains in an early research phase. Its security relies on new cryptographic assumptions including All-Product LWE and Evasive LWE, and those assumptions still require more study and validation.
The article also notes that the technique continues to face efficiency constraints, including high computational overhead and circuit-depth limits. Researchers believe Diamond iO could become an important direction for practical program obfuscation if future work improves underlying hash functions, advances homomorphic encryption schemes, and lowers security parameter requirements.