Tootfinder

Impact of the Social Action, Responsibility and Heroism Act 2015
"If a standard of care in relation to risk assessment which is too high is imposed [...], people may be put off contributing for free or at all. Insurance premiums will rise. Volunteers are not looking to be sued, they are looking to help others"

Law firm hails "important judgement" for local cycling events after judge throws out claim club was liable for driver seriously injuring time trial participant
High Court judge rules negligent driver solely at fault and club's risk assessment was carried out "properly and sufficiently", the ruling said to provide reassurance and "sensible guidance for those who give their free time to help organise events"

SAT-BO: Verification Rule Learning and Optimization for FraudTransaction Detection
Mao Luo, Zhi Wang, Yiwen Huang, Qingyun Zhang, Zhouxing Su, Zhipeng Lv, Wen Hu, Jianguo Li
https://arxiv.org/abs/2507.02635

SAT-BO: Verification Rule Learning and Optimization for FraudTransaction Detection
Electronic payment platforms are estimated to process billions oftransactions daily, with the cumulative value of these transactionspotentially reaching into the trillions. Even a minor error within thishigh-volume environment could precipitate substantial financiallosses. To mitigate this risk, manually constructed verification rules,developed by domain experts, are typically employed to identifyand scrutinize transactions in production environments. However,due to the absence of a systematic …

Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
Xiaohan Wang, Yang Ning
https://arxiv.org/abs/2508.20942

Transfer Learning for Classification under Decision Rule Drift with Application to Optimal Individualized Treatment Rule Estimation
In this paper, we extend the transfer learning classification framework from regression function-based methods to decision rules. We propose a novel methodology for modeling posterior drift through Bayes decision rules. By exploiting the geometric transformation of the Bayes decision boundary, our method reformulates the problem as a low-dimensional empirical risk minimization problem. Under mild regularity conditions, we establish the consistency of our estimators and derive the risk bounds. M…

Towards Safety and Security Testing of Cyberphysical Power Systems by Shape Validation
Alexander Geiger, Immanuel Hacker, \"Omer Sen, Andreas Ulbig
https://arxiv.org/abs/2506.12466

Towards Safety and Security Testing of Cyberphysical Power Systems by Shape Validation
The increasing complexity of cyberphysical power systems leads to larger attack surfaces to be exploited by malicious actors and a higher risk of faults through misconfiguration. We propose to meet those risks with a declarative approach to describe cyberphysical power systems and to automatically evaluate security and safety controls. We leverage Semantic Web technologies as a well-standardized framework, providing languages to specify ontologies, rules and shape constraints. We model infrastr…