Robust Spammer Detection by Nash Reinforcement Learning

Robust Spammer Detection by Nash Reinforcement Learning

10 June 2020

Philip S. Yu

Papers citing "Robust Spammer Detection by Nash Reinforcement Learning"

12 / 12 papers shown

Title
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection Zhiwei Liu Yingtong Dou Philip S. Yu Yutong Deng Hao Peng GNN 102 278 0 01 May 2020
Friend or Faux: Graph-Based Early Detection of Fake Accounts on Social Networks Adam Breuer Roee Eilat Udi Weinsberg 30 73 0 09 Apr 2020
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph Yuxiang Ren Hao Zhu Jiawei Zhang Peng Dai Liefeng Bo 56 44 0 23 Dec 2019
Attacking Graph-based Classification via Manipulating the Graph Structure Binghui Wang Neil Zhenqiang Gong AAML 85 155 0 01 Mar 2019
Securing Behavior-based Opinion Spam Detection Xingyu Lin Guixiang Ma B. Epureanu Philip S. Yu AAML 84 11 0 09 Nov 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 159 1,069 0 21 May 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks J. Uesato Brendan O'Donoghue Aaron van den Oord Pushmeet Kohli AAML 152 604 0 15 Feb 2018
Security Evaluation of Pattern Classifiers under Attack Battista Biggio Giorgio Fumera Fabio Roli AAML 65 444 0 02 Sep 2017
Practical Attacks Against Graph-based Clustering Yizheng Chen Yacin Nadji Athanasios Kountouras Fabian Monrose R. Perdisci M. Antonakakis N. Vasiloglou AAML 52 87 0 29 Aug 2017
Automated Crowdturfing Attacks and Defenses in Online Review Systems Yuanshun Yao Bimal Viswanath Jenna Cryan Haitao Zheng Ben Y. Zhao AAML 57 161 0 27 Aug 2017
Spotting Suspicious Link Behavior with fBox: An Adversarial Perspective Neil Shah Alex Beutel Brian Gallagher Christos Faloutsos 35 99 0 15 Oct 2014
Loopy Belief Propagation for Approximate Inference: An Empirical Study Kevin P. Murphy Yair Weiss Michael I. Jordan 3DV 130 1,883 0 23 Jan 2013