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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks ICCV 2019
GA-DAN: Geometry-Aware Domain Adaptation Network for Scene Text Detection and Recognition ICCV 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning NIPS 2019
Adversarial Training and Robustness for Multiple Perturbations NIPS 2019
Adversarial training for free! NIPS 2019
Defending Neural Backdoors via Generative Distribution Modeling NIPS 2019
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NIPS 2019
On the Hardness of Robust Classification NIPS 2019
Metric Learning for Adversarial Robustness NIPS 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NIPS 2019
Adversarial Examples Are Not Bugs, They Are Features NIPS 2019
Deflecting Adversarial Attacks With Pixel Deflection CVPR 2018
Semantically Equivalent Adversarial Rules for Debugging NLP models ACL 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild CVPR 2018
Defense Against Universal Adversarial Perturbations CVPR 2018
Conditional Adversarial Domain Adaptation NIPS 2018
Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples NIPS 2018
Fooling Vision and Language Models Despite Localization and Attention Mechanism CVPR 2018
Adversarial Regularizers in Inverse Problems NIPS 2018
Boosting Adversarial Attacks With Momentum CVPR 2018
Towards Robust Detection of Adversarial Examples NIPS 2018
Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks NIPS 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL 2018
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization EMNLP 2018