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Sociotechnical Aspects of Tor Relay Rejection
User study and simulations of Tor's relay end-of-life rejection policy find operators favor it; network churn affects anonymity more than EoL exclusions.
The study examines the Tor Project's 2019 end-of-life policy that rejects outdated relays, which constitute a notable fraction of consensus weight. A user study of 26 relay operators found they generally view the policy favorably despite limited awareness, though operational practices occasionally exclude newly installed relays. Historical-data-driven simulations show the policy gives adversaries only marginal advantage, with network churn exerting a more pronounced effect on user anonymity. Analysis of four exclusion rounds shows a minority of rejected relays typically account for over 50% of the security provided by all excluded relays, informing EoL policy recommendations.
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Terranova Security provides expanded tier options, special offers, enhanced partner portal interface
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Verifiable Social Reasoning for LLM Assistants
Fuse, a multi-agent simulation with hidden motives, evaluates LLM social reasoning, revealing compounding difficulty from user mediation and bias sensitivity.
Fuse is a multi-agent simulation framework in which a target agent with a hidden motive interacts with other agents including one representing the user, who consults the evaluated assistant to infer the motive, providing verifiable ground truth by construction. Simulation faithfulness is validated through a human study with 24k annotations. Applied to 12 LLMs, it shows user mediation compounds social reasoning difficulty, models are systematically sensitive to biased user framing, models may need more details than humans, and longer conversations do not always improve performance. The framework and a 21k-example dataset are open-sourced.
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