FedACK: Federated Adversarial Contrastive Knowledge Distillation for
Cross-Lingual and Cross-Model Social Bot Detection

FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection

10 March 2023

Hao Peng

Papers citing "FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection"

6 / 6 papers shown

Title
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers Buyun He Yingguang Yang Qi Wu Hao Liu Renyu Yang Hao Peng Xiang Wang Yong Liao P. Zhou 21 6 0 23 Apr 2024
Adversarial Socialbots Modeling Based on Structural Information Principles Xianghua Zeng Hao Peng Angsheng Li AAML 26 12 0 13 Dec 2023
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 87 946 0 03 Feb 2021
Dissecting a Social Botnet: Growth, Content and Influence in Twitter Norah Abokhodair Daisy Yoo David W. McDonald 31 261 0 13 Apr 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014