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 Black-box Adversarial Attacks with Limited Queries and InformationInternational Conference on Machine Learning (ICML), 2018 |
 VectorDefense: Vectorization as a Defense to Adversarial ExamplesStudies in Computational Intelligence (SCI), 2018 |
 Generating Natural Language Adversarial ExamplesConference on Empirical Methods in Natural Language Processing (EMNLP), 2018 |
 ADef: an Iterative Algorithm to Construct Adversarial DeformationsInternational Conference on Learning Representations (ICLR), 2018 |
 Semantic Adversarial Deep LearningIEEE design & test (D&T), 2018 |
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 Large Margin Deep Networks for ClassificationNeural Information Processing Systems (NeurIPS), 2018 |
 Defending against Adversarial Attack towards Deep Neural Networks via
Collaborative Multi-task TrainingIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2018 |
 Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep
LearningProceedings on Privacy Enhancing Technologies (PoPETs), 2018 |
