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Online Safety Regulation Increases Privacy Risk: Evidence from the UK Online Safety Act
arXiv:2606.05273v1 Announce Type: new Abstract: Governments worldwide are increasingly regulating digital platforms to reduce online harms, particularly those affecting children. However, access restrictions can alter user behaviour and introduce new privacy and security risks. The UK Online Safety Act (OSA), passed in October 2023, illustrates this trend: it extends age-assurance and safety requirements to social media, search, and pornography services, and rolled out in phases.
Online Learning with Gradient-Variation Interval Regret
arXiv:2606.03831v1 Announce Type: new Abstract: This paper investigates non-stationary online learning using the metric of interval regret, which requires an online algorithm to perform well over every time interval. We propose the first online learning algorithm that achieves an interval regret bound scaling with gradient variation, a fundamental measure of the cumulative change in online function gradients, which relates to various problem-dependent quantities and is closely connected to...
'Don’t give parents more to do to keep kids safe online - they need help, not homework'
'Don’t give parents more to do to keep kids safe online - they need help, not homework' "Parents have said they need more support with online safety, but a ban for under 16s plus plans to issue guidance might not be the help we need" Parents who said they want more help keeping their kids safe online might regret asking what they wished for. Because it sounds like we are about to get a whole lot more homework without any of the real support families and young people need. In an interview...
Killer used fake live stream to murder pregnant girlfriend - and sick clues are still online
Killer used fake live stream to murder pregnant girlfriend - and sick clues are still online EXCLUSIVE: Convicted killer Stephen McCullagh used his online notoriety as a YouTuber to create a sick false alibi in a calculated attempt to get away with murdering his pregnant girlfriend, Natalie McNally The account of an evil YouTuber who faked a livestream in an attempt to get away with murder remains online - and it advertises his sick alibi.
UK crime agency warns online platforms 'unsafe' for children as abuse reports grow
EXCLUSIVE: UK crime agency warns online platforms 'unsafe' for children as abuse reports grow The National Crime Agency said the 'online environment as it stands is unsafe for children' as figures show more than 90% of child sex abuse material taken down contains content made by victims Britain’s crime agency is calling for greater protections for kids online as figures show more than 90% of child sex abuse material taken down contains content made by victims. The National Crime Agency (NCA)...
England World Cup stars will have special online police team investigating abuse
EXCLUSIVE: England World Cup stars will have special online police team investigating abuse England stars, including Marcus Rashford and Bukayo Saka, were the targets of horrendous online abuse following the Three Lions' defeat in the final of EURO 2020 A special police investigation team will crack down on vile hate messages posted online aimed at England players during the World Cup. It will look at fans targeting Three Lions stars during the tournament.
Lawyer urges anyone shopping online to use quick Google search
Lawyer urges anyone shopping online to use quick Google search Most shoppers will have seen these 'too good to be true' claims online Shoppers hunting for bargains online are being warned to double-check before purchasing, as brands may make offers appear more attractive than they really are, according to an expert. The alert follows an investigation revealing that retailers' massive price cuts often lack proof to support these huge savings. Lisa Webb, a lawyer at consumer group Which?,...
Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning
arXiv:2605.30776v1 Announce Type: new Abstract: Offline-to-Online Reinforcement Learning (O2O-RL) leverages an offline, pre-trained policy to minimize costly online interactions. Although data-efficient, O2O-RL is susceptible to shifts between offline and online distributions. Existing work aims to mitigate the harm of this shift by finetuning the policy on trajectory data sampled from a diffusion model.
Online Min-Cost Matching with General Arrivals
arXiv:2606.05546v1 Announce Type: new Abstract: In the classic online min-cost matching problem, the goal is to match a sequence of requests that arrive dynamically over time to a set of static servers, aiming to minimize the total cost of the matching. This assumes that there are two distinct "sides" and that only one of these sides arrives online, but many of the motivating applications violate these assumptions. We study online min-cost perfect-matching when \emph{all} participants arrive...
Optimal Online Equitable Allocation with Indivisible Resources
arXiv:2606.08328v1 Announce Type: new Abstract: Equitable allocation of indivisible goods to agents in online settings is an algorithmic primitive with applications for load balancing, network routing, online marketplaces, and multi-agent systems. We consider a general setting in which allocations are constrained to be bases of discrete polymatroids that arrive online. Our work demonstrates that a simple, myopic algorithm called Brick-Laying, which greedily minimizes the sum of squared loads...