30 citations · 35 across the 7 of their papers we have counts for
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cs.LG2023
Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction
Yao Lu, Pengyuan Zhou, Yong Liao +1
Urban anomaly predictions, such as traffic accident prediction and crime prediction, are of vital importance to smart city security and maintenance. Existing methods typically use…
cs.LG2023★ 30 cited
FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
Yingguang Yang, Renyu Yang, Hao Peng +4
Social bot detection is of paramount importance to the resilience and security of online social platforms. The state-of-the-art detection models are siloed and have largely overloo…
cs.LG2023
Mitigating Backdoors in Federated Learning with FLD
Yihang Lin, Pengyuan Zhou, Zhiqian Wu +1
Federated learning allows clients to collaboratively train a global model without uploading raw data for privacy preservation. This feature, i.e., the inability to review participa…