A computer system may provide Encrypted Deep Learning Service (EDLS) to a client. The computer system includes one or more processors and memory storing instructions. When instructions are executed by the one or more processors, the instructions cause the computer system to perform acts including: receiving training data from the client, where the training data comprise cipher images that are encrypted using an orthogonal transformation that hides sensitive information in original images. The acts further include training a deep neural network using the training data in the computer system; and producing cipher inference using the deep neural network when the computer system receives new data including new images encrypted using the orthogonal transformation.

A computer-based system, computer-implemented method, and computer program product for securing a non-fungible digital asset leverage a multiparty computation (MPC) security system implemented upon one or more blockchain computer networks. The MPC security system is configured to implement a secure binding between a cryptographic key and a non-fungible digital asset. The MPC security system is further configured to computationally process shard(s) of the cryptographic key by assigning the shard(s) to respective node(s) of the multiple nodes. The MPC security system is further configured to computationally pair the respective node(s) with the MPC security system. The MPC security system is further configured to verify secure possession of each of the shard(s) by each corresponding node of the node(s). The MPC security system is further configured to, responsive to the verifying, approve a transaction for the asset, the transaction occurring among at least two of the multiple nodes, thereby securing the asset.

Users of a multisignature wallet can customize keys to initiate various transactions. As a user specifies roles to customize keys, a smart contract is updated to associate the roles with the keys, where the customized keys are then associated with the user's multisignature wallet. The user may perform transactions by signing using the key or an address of the key, where a transaction can be processed upon verifying the key and its role. Additionally, a privacy service can facilitate blockchain transactions initiated using a key of a multisignature wallet. The privacy service receives a transaction signed by a key of the multisignature wallet and identifies a proxy wallet using the key. The privacy service validates and signs the transaction, which is then sent to a proxy wallet. The proxy wallet can cause a blockchain transaction to be executed.

A method and device for establishing a communication along a communications channel between a first device (200A) and a second device (200B). The method comprises mutually discovering the first device (200A) and the second device (200B), validating (F5, F6, F7) the communications channel between the first device (200A) and the second device (200B) by exchange of data messages, exchanging a secret between the first device (200A) and the second device (200B) and then exchanging encrypted messages along the communications channel.

Systems and methods for detecting a collision when combining a first encrypted data structure and a second encrypted data structure are disclosed. The system can receive the first encrypted data structure representative of a first plurality of registers. Each register in the first plurality of registers can have an encrypted fingerprint value, and an encrypted register identifier value. The system can receive the second encrypted data structure representative of a second plurality of registers. The system can calculate a first sum associated with a first register of the first plurality of registers based on the fingerprint value of the first register. The system can calculate a second sum associated with a second register of the second plurality of registers. The system can determine a validity bit associated with the collision based on a comparison of the first sum and the second sum.

Systems and methods are presented for establishing secure transactions among a group of transacting parties through use of multi-party computation including garbled circuits. The system uses a set of distributed garbled circuit servers, each having a garbled circuit module, to collectively and securely perform a transactional function, such that any party only has access to its own input and output. Each garbled circuit module may receive input financial data for a transacting party and financial data for at least one other transacting party, and perform an operation to obtain output financial data. The operation may relate to a function for determining a plurality of financial transactions among the plurality of transacting parties.

Embodiments can perform efficient OT (oblivious transfer) protocols to efficiently establish OT correlations that could be used for an MPC protocol. The present embodiments relate to a non-interactive OT (NIOT) protocol using a key encapsulation mechanism (KEM). Two OT protocols are non-interactive OTs, in which a sender generates private, public key pair (pk, sk) that is independent of its input or generated OT correlations. The two OT protocols use a cryptographic hash function and a one-way secure dense key encapsulation mechanism (KEM).

Methods and systems are presented for providing a multi-party computation (MPC) framework for dynamically configuring, deploying, and utilizing an MPC system for performing distributed computations. Based on device attributes and network attributes associated with computer nodes that are available to be part of the MPC system, a configuration for the MPC system is determined. The configuration may specify a total number of computer nodes within the MPC system, a minimum number of computer nodes required to participate in performing a computation process, a key distribution mechanism, and a computation processing mechanism. Encryption keys are generated and distributed among the computer nodes based on the key distribution mechanism. Upon receiving a request for performing the computation, updated network attributes are obtained. The configuration of the MPC system is dynamically modified based on the updated network attributes, and the MPC system performs the computations according to the modified configuration.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for privacy-preserving cross-domain experiment monitoring are described. In one aspect, a method includes receiving, by a first server of a MPC system, a request for digital content including a first secret share of an application instance identifier that identifies the application instance associated with the device. The first server conducts, in collaboration with a second server of the secure MPC system, a privacy-preserving selection process to select a winning digital component from a set of digital components. Each digital component has a corresponding unique experiment identifier and unique control identifier. A first secret share representing the winning digital component is generated. A response is generated and includes the first secret share of the selection result and data representing whether the application is in the experiment group or a control group for each digital component.

An example operation may include one or more of storing blockchain blocks committed to a blockchain based on a protocol executed by a current consensus committee of a blockchain network, receiving random values from the blockchain blocks which are created by nodes of the current consensus committee, randomly determining nodes of a next consensus committee of the blockchain network with respect to the current consensus committee based on the random values created by the nodes of the current consensus committee, and storing a new block to the blockchain based on a protocol based executed by the nodes of the next consensus committee.