Abstract: Randomness is a vital tool and resource in both classical and quantum information processing. However, constructing random bits is expensive, and hence minimising their use is desirable.

Abstract: Network games (NGs) are played on directed graphs and are extensively used in network design and analysis. In the classical model, each player selects a path connecting her source and target vertices.

Abstract: Data has been growing at an unprecedented rate in the last few years.

Abstract: Networked systems like the Internet of Things are everywhere, transmitting sensitive information over media that are susceptible to variability or eavesdropping.

Abstract: Machine learning algorithms are getting used increasingly in making decisions in domains with social consequences. This leads to a natural concern about the biases the algorithms might learn from possibly biased historical data.