Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to ...

Abstract: With the advent of the big data era, relying only on primitive manual operations will not be able to efficiently manage the large amount of information involved in voting activities. Voting ...

Abstract: Transfer entropy is an information measure that quantifies information flow between processes evolving in time. Transfer entropy has a plethora of potential applications in financial markets ...

A Python implementation of CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy. It was developed by Marzio Monticelli as final project of the course of Neural ...

This is a python implementation of a power-law distribution fitter. The code here was originally hosted on agpy but was moved and re-packaged to make setup.py cleaner. Aaron Clauset et al. address the ...