Scoring functions are sub-optimal for all utility-fairness trade-offs in ranking under a generic fairness formulation, but semi-greedy post-processing can approach the performance of exhaustive post-processing.
Crowdsourcing Cybersecu- rity: Cyber Attack Detection using Social Media
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Unsupervised ML approach detects and ranks novel and developing cyber threat events in Twitter by extracting named entities and keywords weighted by user influence, evaluated against human annotators.
citing papers explorer
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Scoring Is Not Enough: Addressing Gaps in Utility-fairness Trade-offs for Ranking
Scoring functions are sub-optimal for all utility-fairness trade-offs in ranking under a generic fairness formulation, but semi-greedy post-processing can approach the performance of exhaustive post-processing.
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A Novel Approach for Detection and Ranking of Trendy and Emerging Cyber Threat Events in Twitter Streams
Unsupervised ML approach detects and ranks novel and developing cyber threat events in Twitter by extracting named entities and keywords weighted by user influence, evaluated against human annotators.