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Adversarial Learning

1235 directly classified papers

Papers per year

Papers

Multi-way Encoding for Robustness WACV 2020
Attending to Discriminative Certainty for Domain Adaptation CVPR 2019
Certifiable Robustness to Graph Perturbations NIPS 2019
Adversarial Music: Real world Audio Adversary against Wake-word Detection System NIPS 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Generative Dual Adversarial Network for Generalized Zero-Shot Learning CVPR 2019
Nonzero-sum Adversarial Hypothesis Testing Games NIPS 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks ICCV 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation IJCNLP 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification IJCNLP 2019
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks AAAI 2019
Abstractive Text Summarization by Incorporating Reader Comments AAAI 2019
A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019
Sensitivity Analysis of Deep Neural Networks AAAI 2019
Interpretation of Neural Networks Is Fragile AAAI 2019
Adversarial Label Learning AAAI 2019
Generating Fluent Adversarial Examples for Natural Languages ACL 2019
Combating Adversarial Misspellings with Robust Word Recognition ACL 2019
DUT-NLP at MEDIQA 2019: An Adversarial Multi-Task Network to Jointly Model Recognizing Question Entailment and Question Answering ACL 2019
On Committee Representations of Adversarial Learning Models for Question-Answer Ranking ACL 2019
Evaluating adversarial attacks against multiple fact verification systems EMNLP 2019
Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack EMNLP 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification EMNLP 2019
Domain-agnostic Question-Answering with Adversarial Training EMNLP 2019
A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019