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Graph-based classification methods are widely used for security and privacy analytics.
Certifiable Robustness and Robust Training for Graph Convolutional Networks. In KDD . ACM
Daniel Zügner and Stephan Günnemann. 2019b · 1903
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Semi-supervised learning using gaussian fields and harmonic functions. In ICML
Xiaojin Zhu, Zoubin Ghahramani, John Lafferty, et al · 2003
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Combating web spam with trustrank. In VLDB
Zoltán Gyöngyi, Hector Garcia-Molina, and Jan Pedersen. 2004 · 2004
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Netprobe: a fast and scalable system for fraud detection in online auction networks. In WWW
Shashank Pandit, Duen Horng Chau, Samuel Wang, and Christos Faloutsos. 2007 · 2007
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SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks. In IEEE S & P
H. Yu, P. B. Gibbons, M. Kaminsky, and F. Xiao. 2008 · 2008
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The graph neural network model
Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2009 · 2009
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The security of machine learning
Marco Barreno, Blaine Nelson, Anthony D Joseph, and JD Tygar. 2010 · 2010
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Classification of malware using structured control flow. In AusPDC . Australian Computer Society, Inc
Silvio Cesare and Yang Xiang. 2010 · 2010
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Near-Optimal Evasion of Convex-Inducing Classifiers.. In AISTATS
Blaine Nelson, Benjamin IP Rubinstein, Ling Huang, Anthony D Joseph, Shing-hon Lau, Steven J Lee, Satish Rao, Anthony Tran, and J Doug Tygar. 2010 · 2010
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Polonium: Tera-scale graph mining and inference for malware detection. In SIAM SDM
Duen Horng “Polo” Chau, Carey Nachenberg, Jeffrey Wilhelm, Adam Wright, and Christos Faloutsos. 2011 · 2011
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Adversarial machine learning. In AISec
Ling Huang, Anthony D Joseph, Blaine Nelson, Benjamin IP Rubinstein, and JD Tygar. 2011 · 2011
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Poisoning attacks against support vector machines. In ICML
Battista Biggio, Blaine Nelson, and Pavel Laskov. 2012 · 2012
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Aiding the Detection of Fake Accounts in Large Scale Social Online Services. In NSDI
Qiang Cao, Michael Sirivianos, Xiaowei Yang, and Tiago Pregueiro. 2012 · 2012
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Deep learning via semi-supervised embedding
Jason Weston, Frédéric Ratle, Hossein Mobahi, and Ronan Collobert. 2012 · 2012
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Analyzing Spammer’s Social Networks for Fun and Profit. In WWW
Chao Yang, Robert Harkreader, Jialong Zhang, Seungwon Shin, and Guofei Gu. 2012 · 2012
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Opinion Fraud Detection in Online Reviews by Network Effects.. In ICWSM
Leman Akoglu, Rishi Chandy, and Christos Faloutsos. 2013 · 2013
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SoK: The Evolution of Sybil Defense via Social Networks. In IEEE S & P
Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, and Alessandro Panconesi. 2013 · 2013
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Evasion attacks against machine learning at test time. In ECML-PKDD . Springer
Battista Biggio, Igino Corona, Davide Maiorca, Blaine Nelson, Nedim Šrndić, Pavel Laskov, Giorgio Giacinto, and Fabio Roli. 2013 · 2013
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Structural detection of android malware using embedded call graphs. In AISec
Hugo Gascon, Fabian Yamaguchi, Daniel Arp, and Konrad Rieck. 2013 · 2013
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Finding the linchpins of the dark web: a study on topologically dedicated hosts on malicious web infrastructures. In IEEE S & P
Zhou Li, Sumayah Alrwais, Yinglian Xie, Fang Yu, and XiaoFeng Wang. 2013 · 2013
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Distributed representations of words and phrases and their compositionality. In NIPS
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2013 · 2013
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Convex adversarial collective classification. In ICML . 642–650
MohamadAli Torkamani and Daniel Lowd. 2013 · 2013
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Privacy in pharmacogenetics: An end-to-end case study of personalized warfarin dosing. In USENIX Security Symposium
Matthew Fredrikson, Eric Lantz, Somesh Jha, Simon Lin, David Page, and Thomas Ristenpart. 2014 · 2014
Cited alongside, same era.
SybilBelief: A Semi-supervised Learning Approach for Structure-based Sybil Detection
Neil Zhenqiang Gong, Mario Frank, and Prateek Mittal. 2014a · 2014
Cited alongside, same era.
Joint link prediction and attribute inference using a social-attribute network
Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine Runting Shi, and Dawn Song. 2014b · 2014
Cited alongside, same era.
Explaining and harnessing adversarial examples
Ian J Goodfellow, Jonathon Shlens, and Christian Szegedy. 2014 · 2014
Cited alongside, same era.
Deepwalk: Online learning of social representations. In KDD
Bryan Perozzi, Rami Al-Rfou, and Steven Skiena. 2014 · 2014
Cited alongside, same era.
Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers. In NDSS
Weilin Xu, Yanjun Qi, and David Evans. 2016 · 2016
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Practical attacks against graph-based clustering. In CCS
Yizheng Chen, Yacin Nadji, Athanasios Kountouras, Fabian Monrose, Roberto Perdisci, Manos Antonakakis, and Nikolaos Vasiloglou. 2017 · 2017
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Semi-supervised classification with graph convolutional networks. In ICLR
Thomas N Kipf and Max Welling. 2017 · 2017
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Delving into Transferable Adversarial Examples and Black-box Attacks. In ICLR
Yanpei Liu, Xinyun Chen, Chang Liu, and Dawn Song. 2017 · 2017
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MagNet: a Two-Pronged Defense against Adversarial Examples. In CCS
Dongyu Meng and Hao Chen. 2017 · 2017
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Membership Inference Attacks Against Machine Learning Models. In IEEE S & P
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Practical evasion of a learning-based classifier: A case study. In IEEE S & P
Nedim Srndic and Pavel Laskov. 2014 · 2014
Cited alongside, same era.
Guilt by association: large scale malware detection by mining file-relation graphs. In KDD
Acar Tamersoy, Kevin Roundy, and Duen Horng Chau. 2014 · 2014
Cited alongside, same era.
Hacking smart machines with smarter ones: How to extract meaningful data from machine learning classifiers
Giuseppe Ateniese, Luigi V Mancini, Angelo Spognardi, Antonio Villani, Domenico Vitali, and Giovanni Felici. 2015 · 2015
Cited alongside, same era.
Integro: Leveraging Victim Prediction for Robust Fake Account Detection in OSNs. In NDSS
Yazan Boshmaf, Dionysios Logothetis, Georgos Siganos, Jorge Leria, Jose Lorenzo, Matei Ripeanu, and Konstantin Beznosov. 2015 · 2015
Cited alongside, same era.
Grarep: Learning graph representations with global structural information. In CIKM
Shaosheng Cao, Wei Lu, and Qiongkai Xu. 2015 · 2015
Cited alongside, same era.
Model inversion attacks that exploit confidence information and basic countermeasures. In CCS
Matt Fredrikson, Somesh Jha, and Thomas Ristenpart. 2015 · 2015
Cited alongside, same era.
Exploiting temporal dynamics in sybil defenses. In CCS
Changchang Liu, Peng Gao, Matthew Wright, and Prateek Mittal. 2015 · 2015
Cited alongside, same era.
Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov. 2017 · 2017
Later among the works it cites.
Fake Co-visitation Injection Attacks to Recommender Systems. In NDSS
Guolei Yang, Neil Zhenqiang Gong, and Ying Cai. 2017 · 2017
Later among the works it cites.
An Exact Penalty Method for Binary Optimization Based on MPEC Formulation.. In AAAI
Ganzhao Yuan and Bernard Ghanem. 2017 · 2017
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Relational inductive biases, deep learning, and graph networks
Peter W Battaglia, Jessica B Hamrick, Victor Bapst, Alvaro Sanchez-Gonzalez, Vinicius Zambaldi, Mateusz Malinowski, Andrea Tacchetti, David Raposo, Adam Santoro, Ryan Faulkner, et al · 2018
Later among the works it cites.
Poisoning Attacks to Graph-Based Recommender Systems. In ACSAC
Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, and Jia Liu. 2018 · 2018
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Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations. In CCS
Karan Ganju, Qi Wang, Wei Yang, Carl A Gunter, and Nikita Borisov. 2018 · 2018
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SybilFuse: Combining Local Attributes with Global Structure to Perform Robust Sybil Detection. In IEEE CNS
Peng Gao, Binghui Wang, Neil Zhenqiang Gong, Sanjeev R Kulkarni, Kurt Thomas, and Prateek Mittal. 2018 · 2018
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Model-Reuse Attacks on Deep Learning Systems. In CCS
Yujie Ji, Xinyang Zhang, Shouling Ji, Xiapu Luo, and Ting Wang. 2018 · 2018
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AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Jinyuan Jia and Neil Zhenqiang Gong. 2018 · 2018
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Knock Knock, Who’s There? Membership Inference on Aggregate Location Data. In NDSS
Apostolos Pyrgelis, Carmela Troncoso, and Emiliano De Cristofaro. 2018 · 2018
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When Does Machine Learning FAIL? Generalized Transferability for Evasion and Poisoning Attacks. In Usenix Security Symposium
Octavian Suciu, Radu Marginean, Yigitcan Kaya, Hal Daume III, and Tudor Dumitras. 2018 · 2018
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Data Poisoning Attack against Unsupervised Node Embedding Methods
Mingjie Sun, Jian Tang, Huichen Li, Bo Li, Chaowei Xiao, Yao Chen, and Dawn Song. 2018 · 2018
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Stealing hyperparameters in machine learning. In IEEE S & P
Binghui Wang and Neil Zhenqiang Gong. 2018 · 2018
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Structure-based Sybil Detection in Social Networks via Local Rule-based Propagation
Binghui Wang, Jinyuan Jia, Le Zhang, and Neil Zhenqiang Gong. 2018a · 2018
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Adversarial attacks on neural networks for graph data. In KDD
Daniel Zügner, Amir Akbarnejad, and Stephan Günnemann. 2018 · 2018
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Adversarial Attacks on Node Embeddings via Graph Poisoning. In ICML
Aleksandar Bojchevski and Stephan Günnemann. 2019 · 2019
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Graph-based Security and Privacy Analytics via Collective Classification with Joint Weight Learning and Propagation. In NDSS
Binghui Wang, Jinyuan Jia, and Neil Zhenqiang Gong. 2019 · 2019
Closest in time.