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Adversarial Learning

4854 directly classified papers

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Papers

Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing COLING 2020
Adversarial Transformations for Semi-Supervised Learning AAAI 2020
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples AAAI 2020
EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation COLING 2020
Contrastive Zero-Shot Learning for Cross-Domain Slot Filling with Adversarial Attack COLING 2020
Enhancing Neural Models with Vulnerability via Adversarial Attack COLING 2020
Exploiting Node Content for Multiview Graph Convolutional Network and Adversarial Regularization COLING 2020
A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories AAAI 2020
Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World AAAI 2020
Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training COLING 2020
Generate (Non-Software) Bugs to Fool Classifiers AAAI 2020
microbatchGAN: Stimulating Diversity with Multi-Adversarial Discrimination WACV 2020
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty INTERSPEECH 2020
Adversarially Trained Multi-Singer Sequence-to-Sequence Singing Synthesizer INTERSPEECH 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks AAAI 2020
Recognition-Synthesis Based Non-Parallel Voice Conversion with Adversarial Learning INTERSPEECH 2020
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization ICML 2020
Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses NIPS 2020
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks NIPS 2020
An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation AAAI 2020
Adversarial Sampling for Active Learning WACV 2020
Robust Adversarial Objects against Deep Learning Models AAAI 2020
Identifying Model Weakness with Adversarial Examiner AAAI 2020
Zero-Shot Learning from Adversarial Feature Residual to Compact Visual Feature AAAI 2020