, Deep Learning with Differential Privacy, pp.308-318, 2016.
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers, Int. J. Secur. Netw, vol.10, pp.137-150, 2015. ,
Adversarial Attacks on Node Embeddings via Graph Poisoning, ICML, 2019. ,
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications, IEEE Transactions on Knowledge and Data Engineering, vol.30, pp.1616-1637, 2018. ,
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks, USENIX Security, pp.267-284, 2019. ,
, A Tutorial on Network Embeddings, 2018.
, Topology Adaptive Graph Convolutional Networks, 2018.
, Quantifying (Hyper) Parameter Leakage in Machine Learning, 2019.
, Stealing Neural Networks via Timing Side Channels, 2018.
Model Inversion Attacks That Exploit Confidence Information and Basic Countermeasures, CCS, pp.1322-1333, 2015. ,
Property Inference Attacks on Fully Connected Neural Networks Using Permutation Invariant Representations, CCS, pp.619-633, 2018. ,
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors, USENIX Security, pp.979-995, 2016. ,
You Are Who You Know and How You Behave: Attribute Inference Attacks via Users' Social Friends and Behaviors, USENIX Security, pp.979-995, 2016. ,
node2vec: Scalable Feature Learning for Networks, KDD, 2016. ,
Inductive Representation Learning on Large Graphs, pp.1024-1034, 2017. ,
, LOGAN: Membership Inference Attacks Against Generative Models. PETS, vol.1, pp.133-152, 2019.
, Neil Zhenqiang Gong, and Yang Zhang. 2020. Stealing Links from Graph Neural Networks
Attriguard: A Practical Defense against Attribute Inference Attacks via Adversarial Machine Learning, USENIX Security, pp.513-529, 2018. ,
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples, CCS, pp.259-274, 2019. ,
AttriInfer: Inferring User Attributes in Online Social Networks Using Markov Random Fields, pp.1561-1569, 2017. ,
Semi-Supervised Classification with Graph Convolutional Networks, ICLR, 2017. ,
Combining Neural Networks with Personalized PageRank for Classification on Graphs, ICLR, 2019. ,
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning, AAAI, 2018. ,
Exploiting Unintended Feature Leakage in Collaborative Learning, SP, pp.691-706, 2019. ,
Distributed Representations of Words and Phrases and Their Compositionality, NIPS, pp.3111-3119, 2013. ,
Machine Learning with Membership Privacy Using Adversarial Regularization, CCS, pp.634-646, 2018. ,
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning, SP, pp.739-753, 2019. ,
Privacy Risks of General-Purpose Language Models, SP, 2020. ,
DeepWalk: Online Learning of Social Representations, KDD, pp.701-710, 2014. ,
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models, NDSS, 2019. ,
Membership Inference Attacks Against Machine Learning Models, SP, pp.3-18, 2017. ,
, Congzheng Song and Ananth Raghunathan. 2020. Information Leakage in Embedding Models
Machine Learning Models That Remember Too Much, CCS, pp.587-601, 2017. ,
Overlearning Reveals Sensitive Attributes, ICLR, 2020. ,
, Systematic Evaluation of Privacy Risks of Machine Learning Models, 2020.
Visualizing Data using t-SNE, Journal of Machine Learning Research, pp.2579-2605, 2008. ,
Graph Attention Networks, ICLR, 2018. ,
Stealing Hyperparameters in Machine Learning, SP, pp.36-52, 2018. ,
DPNE: Differentially Private Network Embedding, pp.235-246, 2018. ,
dpUGC: Learn Differentially Private Representation for User Generated Contents, CICLing, 2019. ,
, Graph neural networks: A review of methods and applications, 2018.
Robust Graph Convolutional Networks Against Adversarial Attacks, KDD, pp.1399-1407, 2019. ,
Adversarial Attacks on Neural Networks for Graph Data, KDD, pp.2847-2856, 2018. ,
Certifiable Robustness and Robust Training for Graph Convolutional Networks, KDD, pp.246-256, 2019. ,