1 citations · 2 across the 4 of their papers we have counts for
4 papers
A General Black-box Adversarial Attack on Graph-based Fake News Detectors
Peican Zhu, Zechen Pan, Yang Liu +3
Graph Neural Network (GNN)-based fake news detectors apply various methods to construct graphs, aiming to learn distinctive news embeddings for classification. Since the constructi…
Community Detection in the Multi-View Stochastic Block Model
Yexin Zhang, Zhongtian Ma, Qiaosheng Zhang +2
This paper considers the problem of community detection on multiple potentially correlated graphs from an information-theoretical perspective. We first put forth a random graph mod…
BufferSearch: Generating Black-Box Adversarial Texts With Lower Queries
Wenjie Lv, Zhen Wang, Yitao Zheng +3
Machine learning security has recently become a prominent topic in the natural language processing (NLP) area. The existing black-box adversarial attack suffers prohibitively from…
A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang, Ruiyu Wang, Xinrun Wang +1
Generalization in reinforcement learning (RL) is of importance for real deployment of RL algorithms. Various schemes are proposed to address the generalization issues, including tr…