IPTF
testnet hybrid I2I + I2U

Private Shared State (MPC + ZK / co-SNARKs)

Enable N parties to jointly read and write shared on-chain state (balances, positions, order books, collateral pools) while keeping each party's individual data private from the others and from the infrastructure operator. This variant secret-shares each party's inputs across a distributed prover network; the nodes jointly run an MPC protocol to compute a single zero-knowledge proof of a correct state transition; the proof is posted on-chain for verification.

CR
Medium
Censorship Resistance
O
Yes
Open Source
P
Full
Privacy
S
Medium
Security
CROPS context
Censorship Resistance
Reaches high when the MPC prover network is permissionless and bond-backed. Drops to low when a single proving service controls the pipeline or when participation requires consortium membership.
Open Source
Core co-SNARK proving frameworks are published under permissive licenses. Production deployments may bundle proprietary orchestration and share-routing.
Privacy
No single MPC node or the verifier sees any party's plaintext inputs under the honest-majority assumption. Metadata about who participated, timing, and which circuit was proven can still leak.
Security
Rides on the soundness of the underlying SNARK (including any trusted-setup ceremony) and on the honest-majority assumption across MPC nodes. Dishonest majority leads to witness exposure and, in some constructions, forged proofs.
I2I
Between institutions, the MPC node set is typically operated by the consortium members themselves or by a neutral third party under SLA. Honest-majority risk is bounded by bilateral agreements and audit logs; legal recourse backs any collusion claim.
I2U
For user-facing deployments the prover and MPC node set must be operator-diverse and ideally permissionless. A user has no recourse if a coalition silently reconstructs their witness. Economic bonding with slashing and publicly auditable proving logs are required to make the guarantee meaningful.
Works best when
Multiple institutions share a ledger, pool, or order book and must hide individual positions from each other.
Cryptographic privacy guarantees are required (no hardware trust acceptable).
Regulatory audit must be possible without exposing raw data to all participants.
Avoid when
Single-party privacy is sufficient (use shielding instead).
Sub-second latency is critical (MPC rounds plus proving add batch latency).
Fully trustless client-side proving with no external infrastructure dependency is required.
Intent

Enable N parties to jointly read and write shared on-chain state (balances, positions, order books, collateral pools) while keeping each party's individual data private from the others and from the infrastructure operator. This variant secret-shares each party's inputs across a distributed prover network; the nodes jointly run an MPC protocol to compute a single zero-knowledge proof of a correct state transition; the proof is posted on-chain for verification.

Unlike single-party shielding, private shared state requires computation across multiple parties' secrets.

Components
  • Secret-sharing layer splits each party's inputs (additive or Shamir) and routes shares to the proving network.
  • Distributed prover network jointly runs the MPC protocol to compute a zero-knowledge proof without any node reconstructing the full witness.
  • Coordinator sequences MPC rounds and assembles the final proof.
  • Commitment scheme (Pedersen, Poseidon) represents the shared state as commitments anchored on-chain.
  • On-chain verifier contract checks the proof and advances the state root on L1 or a settlement L2.
  • Regulatory disclosure path produces selective zero-knowledge proofs or scoped viewing material for auditors without revealing other participants' data.
Protocol
1
[user] Each participating institution secret-shares its inputs across the MPC prover network.
2
[user] A party submits a secret-shared state transition request (transfer, trade, margin call).
3
[prover] MPC nodes jointly execute the co-SNARK protocol, exchanging shares across rounds to compute witness polynomials and commitments without reconstructing any plaintext.
4
[prover] The coordinator assembles the final zero-knowledge proof and the new state commitment.
5
[contract] The on-chain verifier checks the proof and advances the state root.
6
[auditor] Regulator obtains scoped disclosure via a selective zero-knowledge proof or viewing key bound to a specific position.
Guarantees & threat model

Guarantees:

  • Input privacy: no party or MPC node learns another party's balances, positions, or trade intent under the honest-majority assumption.
  • State correctness: the on-chain zero-knowledge proof enforces that every transition follows protocol rules.
  • Settlement finality anchored to Ethereum L1 or an L2 for irreversibility.
  • Scoped auditability through selective zero-knowledge proofs or disclosure keys.

Threat model:

  • Soundness of the underlying SNARK and any trusted-setup ceremony.
  • Honest-majority assumption across MPC nodes. A colluding majority can recover witnesses and, in some constructions, forge proofs.
  • Non-censoring coordinator. A malicious coordinator can refuse to finalize or selectively drop requests; liveness fails, not privacy.
  • Authenticated and confidential channels between nodes. Metadata about participation and timing is out of scope.
  • Sender and receiver addresses are not hidden by default; address unlinkability requires composition with stealth addresses.
Trade-offs
  • Heavy communication overhead. Round count and bandwidth scale with both the number of provers and circuit size.
  • Batch latency of several hundred milliseconds to seconds per transition; batched throughput in the low hundreds of TPS in current research stacks.
  • Liveness depends on all designated nodes remaining online through the proving session. Dropouts force a restart.
  • New infrastructure requirements: MPC nodes, share routing, key management, and slashing if bond-backed.
  • Not a fit when sub-second latency is required or when a fully client-side proof is possible.
Post-quantum
high risk
Vector: Pairing-based SNARKs (Groth16, PLONK/KZG) broken by CRQC. MPC communication inherits the underlying key-exchange assumptions; HNDL risk applies to recorded MPC transcripts.
Mitigation: co-STARK alternatives with hash-based commitments. See Post-Quantum Threats.
Example
  • Three banks share a tokenised-bond collateral pool on an Ethereum settlement L2. Each bank's deposit is secret-shared across the MPC prover network. A margin call triggers a joint co-SNARK run: the network produces one zero-knowledge proof attesting that aggregate collateral covers the exposure without revealing any individual position. The proof and the new state commitment are posted on-chain. A regulator later audits one bank's position via a scoped selective proof without learning the others.
Open-source implementations
co-SNARK proving framework supporting Groth16 and PLONK (research/testnet)
Rust