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Project Overview
Mind Network is an "HTTPZ" infrastructure that employs total homomorphic encryption (FHE) to usher Web3 into a new era of quantum resistance and end-to-end encryption. Mind Network offers unique solutions for data sovereignty protection, fair consensus, private voting, secure cross-chain transport, and trusted AI.
Fhenix Mainnet Launches, Arbitrum Supports FHE Privacy Transactions
Arbitrum posted on X that the Fhenix mainnet has launched, bringing FHE-powered privacy features to Arbitrum. Users can now switch transactions from public mode to private mode via Fhenix Dual Mode.
The Ethereum Foundation will sponsor the inaugural Workshop on Privacy-Preserving Technologies WPPT 2026.
The Ethereum Foundation announced on Twitter that it will sponsor the inaugural Workshop on Privacy-Preserving Technologies (WPPT 2026). The workshop is an affiliated event of Asiacrypt 2026 and will be held in Hong Kong in December 2026. Organized by staff from the Ethereum Foundation, it focuses on topics such as ZK, MPC, FHE, PIR, privacy identity, blockchain privacy, and practically deployed privacy systems, aiming to connect theoretical research with practical applications. Official calls for demonstration papers are now open; submissions require abstracts of no more than three pages, with a deadline of September 25.
Vitalik: Diamond iO Enables Programs to Run While Hiding Internal Logic and Critical Data
Odaily Ethereum co-founder Vitalik Buterin has published a new article introducing Diamond iO, a novel cryptographic obfuscation technique. This technology aims to address the extreme inefficiency of traditional indistinguishability obfuscation (iO) schemes, allowing programs to execute while hiding their internal logic and critical data. Traditional iO technology offers privacy protection but at a high computational cost. Diamond iO, by adopting more aggressive new cryptographic assumptions, improves computational efficiency from "cosmological time" to "planetary time," bringing it closer to practical application. Diamond iO is built on technologies such as Attribute-Based Encryption (ABE) and Fully Homomorphic Encryption (FHE). It encrypts programs, enabling users to execute the encrypted program and obtain correct outputs without viewing its internal code or hidden keys. This scheme introduces a new input encoding mechanism and conditional decryption method, reducing computational complexity while ensuring program logic is hidden. Its core application scenarios include protecting programs containing private keys, enabling secure software licensing, building trustless cryptographic services, and supporting blockchain and AI systems with stronger privacy guarantees.Diamond iO is still in its early research stages. Its security depends on novel cryptographic assumptions, including All-Product LWE and Evasive LWE, which require further research and validation. At the same time, the technology still faces efficiency challenges such as high computational overhead and circuit depth limitations. Researchers believe that by optimizing underlying hash functions, improving homomorphic encryption schemes, and reducing security parameter requirements, Diamond iO has the potential to become an important direction for advancing practical program obfuscation technology in the future.
Vitalik Recommends "The Interfold" Project: A General Implementation of MACI for Privacy Protocols
Ethereum co-founder Vitalik Buterin recommended the "The Interfold" project in a post, stating that more people should learn about Interfold. It is a general implementation version of the MACI (Minimal Anti-Collusion Infrastructure) concept he has repeatedly called for over the past decade. Essentially, this project is a privacy protocol optimized for scenarios such as voting and secret auctions, allowing more people to pay attention to and understand this technological advancement.Vitalik also stated that the core mechanisms of Interfold include generating threshold encryption keys, users submitting votes on-chain with ZKP eligibility proofs, performing arbitrary computations within Fully Homomorphic Encryption (FHE) followed by threshold decryption. This enables unconditional voter anonymity, Ethereum-level censorship resistance, and ensures correctness through ZK over FHE, among other strong security guarantees. The main limitation at present is the high cost of complex computations (such as multiplication operations); only additive vote counting is mature. Optimizations based on slashing are being advanced, with a long-term goal of implementing obfuscation techniques to eliminate reliance on M-of-N committees.
Privacy-preserving computation company Zama acquires TokenOps to deploy FHE-based encrypted token distribution solutions for institutional issuers
According to The Block, privacy computing company Zama has acquired TokenOps, an enterprise-grade token lifecycle management platform, with plans to integrate fully homomorphic encryption (FHE) into institutional-grade token vesting, airdrops, and equity structure management. Zama stated that TokenOps has processed over $2 billion in distributions. Following the acquisition, issuers will be able to execute end-to-end token distribution, release schedules, and recipient identity verification—all on-chain and encrypted—based on the ERC-7984 Confidential Token standard. This solution is already live in production at KAIO, whose partner institutions include BlackRock, Hamilton Lane, and Brevan Howard. TokenOps will continue operating under its independent brand post-acquisition.
Related news
Fhenix Mainnet Launches, Arbitrum Supports FHE Privacy Transactions
Arbitrum posted on X that the Fhenix mainnet has launched, bringing FHE-powered privacy features to Arbitrum. Users can now switch transactions from public mode to private mode via Fhenix Dual Mode.
CZ Responds to Vitalik on AI and Cryptographic Security: Teaming Up Could Make a Difference
Responding to Vitalik’s lengthy post warning that AI-accelerated mathematical research could jeopardize cryptographic security, CZ posted on X that he rates Vitalik’s math proficiency at 99.99 points and his own at 0.01 points, joking, "Put together, we might actually accomplish something." CZ also noted that while readers might find Vitalik's technical analysis as challenging to follow as he does, it is still worth diving into such an engaging discussion. Previously, Vitalik Buterin posted a warning that AI-accelerated mathematical research could significantly weaken the practical security of lattice-based cryptosystems within the next two years, affecting related technologies such as ML-DSA and fully homomorphic encryption (FHE), and potentially exposing ECDSA to cryptographic breakthroughs earlier than anticipated. He suggested that AI could accelerate mathematical research progress comparable to that of the past 50 years within just two years. Consequently, over the past year, the Ethereum Lean roadmap has been gradually shifting toward pure hash-based signature schemes to reduce dependence on lattice-based cryptography.
Vitalik: AI May Accelerate Cryptanalysis, Recommends Prioritizing Hash-Based Encryption Schemes
Ethereum co-founder Vitalik Buterin warned in a post that AI-accelerated mathematical research could pose a severe threat to existing cryptographic systems within the next two years, particularly lattice-based cryptography (Lattices), ML-DSA, and FHE schemes, with ECDSA also facing a heightened risk of being compromised sooner than anticipated. Vitalik noted that AI could replicate breakthroughs akin to the transition from naive factorization to the Number Field Sieve, substantially undermining the security of lattice-based cryptography. In such a scenario, hash-based schemes would comprehensively outperform lattice-based ones in efficiency. The Ethereum Lean Roadmap is already progressing toward a "pure-hash" approach, employing signature schemes like WOTS or SPHINCS+ without incorporating any lattice-based components. From a personal standpoint, Vitalik offers the following recommendations: • Prioritize hash-based schemes, replacing lattice cryptography in feasible scenarios • Conservatively estimate lattice parameter sizes, with a recommendation to increase key sizes by a factor of 10 • Ensure privacy protocols avoid posting encrypted data on-chain, opting instead for off-chain transmission through third parties • Utilize offline confirmation for multi-signature wallets to prevent signatures from being publicly exposed • It is acceptable to retain funds in "fresh addresses" that have never initiated a transaction; however, address migration must be handled with extreme care, as losses resulting from operational errors may far exceed those caused by hacker breaches.
Vitalik Buterin: SNARKs are expected to operate with low overhead by the end of this century.
According to Cointelegraph, Ethereum co-founder Vitalik Buterin stated that there is a 60% chance that SNARKs, FHE, and iO will ultimately be able to operate with less than 10x overhead, with SNARKs most likely to be deployed first, expected to go live by the end of this century.
The Ethereum Foundation will sponsor the inaugural Workshop on Privacy-Preserving Technologies WPPT 2026.
The Ethereum Foundation announced on Twitter that it will sponsor the inaugural Workshop on Privacy-Preserving Technologies (WPPT 2026). The workshop is an affiliated event of Asiacrypt 2026 and will be held in Hong Kong in December 2026. Organized by staff from the Ethereum Foundation, it focuses on topics such as ZK, MPC, FHE, PIR, privacy identity, blockchain privacy, and practically deployed privacy systems, aiming to connect theoretical research with practical applications. Official calls for demonstration papers are now open; submissions require abstracts of no more than three pages, with a deadline of September 25.
Privacy blockchain project Beldex completes $8 million funding round, led by Sigma Capital
Odaily News: Privacy blockchain project Beldex has announced the completion of an $8 million funding round, led by Sigma Capital, with participation from NTC, Nxgen, Digital Consensus Fund, EAK Ventures, and other institutions. The new funds will be used for developer tools, privacy applications, protocol security, AI infrastructure development, and ecosystem expansion.Beldex is exploring the use of its privacy technology to protect the identity, payments, communications, and data processing of AI agents, including privacy-preserving AI identities, encrypted AI communications, confidential payments, secure AI execution, as well as research into technologies such as fully homomorphic encryption (FHE) and secure memory. (Decrypt)