18 citations · 33 across the 6 of their papers we have counts for
6 papers
Risks and Controls for Multi-Agent Systems: an analytical framework for deployment of AI agents across organisational boundaries
Alistair Reid, Simon O'Callaghan, Dustin Venini +2
This report presents a framework to help organisations, policymakers and researchers reason about the risks that emerge when AI agents interact with each other, how those risks cha…
Risk Analysis Techniques for Governed LLM-based Multi-Agent Systems
Alistair Reid, Simon O'Callaghan, Liam Carroll +1
Organisations are starting to adopt LLM-based AI agents, with their deployments naturally evolving from single agents towards interconnected, multi-agent networks. Yet a collection…
Fast Fair Regression via Efficient Approximations of Mutual Information
Daniel Steinberg, Alistair Reid, Simon O'Callaghan +3
Most work in algorithmic fairness to date has focused on discrete outcomes, such as deciding whether to grant someone a loan or not. In these classification settings, group fairnes…
The Crossover Process: Learnability and Data Protection from Inference Attacks
Richard Nock, Giorgio Patrini, Finnian Lattimore +1
It is usual to consider data protection and learnability as conflicting objectives. This is not always the case: we show how to jointly control inference --- seen as the attack ---…
Fast Learning from Distributed Datasets without Entity Matching
Giorgio Patrini, Richard Nock, Stephen Hardy +1
Consider the following data fusion scenario: two datasets/peers contain the same real-world entities described using partially shared features, e.g. banking and insurance company r…
Evolution of Privacy Loss in Wikipedia
Marian-Andrei Rizoiu, Lexing Xie, Tiberio Caetano +1
The cumulative effect of collective online participation has an important and adverse impact on individual privacy. As an online system evolves over time, new digital traces of ind…