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Found 5 papers, 1 papers with code
Privacy-Preserving UCB Decision Process Verification via zk-SNARKs
With the increasingly widespread application of machine learning, how to strike a balance between protecting the privacy of data and algorithm parameters and ensuring the verifiability of machine learning has always been a challenge.
THG: Transformer with Hyperbolic Geometry
In this work, we propose a novel Transformer with Hyperbolic Geometry (THG) model, which take the advantage of both Euclidean space and Hyperbolic space.
Global Context-enhanced Graph Convolutional Networks for Document-level Relation Extraction
In this paper, we propose Global Context-enhanced Graph Convolutional Networks (GCGCN), a novel model which is composed of entities as nodes and context of entity pairs as edges between nodes to capture rich global context information of entities in a document.
A $p/2$ Adversary Power Resistant Blockchain Sharding Approach
First, in a non-sharding blockchain, nodes can have different weight (power or stake) to create a consensus, and as such an adversary needs to control half of the overall weight in order to manipulate the system ($p/2$ security level).
Distributed, Parallel, and Cluster Computing Cryptography and Security
An n/2 Byzantine node tolerate Blockchain Sharding approach
Traditional Blockchain Sharding approaches can only tolerate up to n/3 of nodes being adversary because they rely on the hypergeometric distribution to make a failure (an adversary does not have n/3 of nodes globally but can manipulate the consensus of a Shard) hard to happen.
Cryptography and Security Distributed, Parallel, and Cluster Computing 68M12
