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Found 3 papers, 1 papers with code
Rallying Adversarial Techniques against Deep Learning for Network Security
Recent advances in artificial intelligence and the increasing need for powerful defensive measures in the domain of network security, have led to the adoption of deep learning approaches for use in network intrusion detection systems.
How to Databasify a Blockchain: the Case of Hyperledger Fabric
This raises two questions: (1) Which conceptual similarities and differences do actually exist between a system such as Fabric and a classical distributed database system?
Distributed, Parallel, and Cluster Computing
The Case for Automatic Database Administration using Deep Reinforcement Learning
To simplify the configuration, industry grade DBMSs are usually shipped with various advisory tools, that provide recommendations for given workloads and machines.
