Adversarial Learning

Time-series Generative Adversarial Networks NeurIPS 2019 Topics to Avoid: Demoting Latent Confounds in Text Classification EMNLP 2019 Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective IJCAI 2019 Toward Realistic Image Compositing With Adversarial Learning CVPR 2019 Towards Adversarially Robust Object Detection ICCV 2019 Towards Better Accuracy and Robustness with Localized Adversarial Training AAAI 2019 Towards Coherent and Cohesive Long-form Text Generation NAACL 2019 Towards Generalized Speech Enhancement with Generative Adversarial Networks Interspeech 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability ICLR 2019 Train, Sort, Explain: Learning to Diagnose Translation Models NAACL 2019 Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation ICML 2019 Transferable Adversarial Attacks for Image and Video Object Detection IJCAI 2019 Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers ICML 2019 Transferable Attention for Domain Adaptation AAAI 2019 Transferable Clean-Label Poisoning Attacks on Deep Neural Nets ICML 2019 Trust Region Based Adversarial Attack on Neural Networks CVPR 2019 Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NeurIPS 2019 UM-Adapt: Unsupervised Multi-Task Adaptation Using Adversarial Cross-Task Distillation ICCV 2019 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer ICLR 2019 Universal Adversarial Perturbations for Speech Recognition Systems Interspeech 2019 Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation ICCV 2019 Universal Adversarial Triggers for Attacking and Analyzing NLP EMNLP 2019 Universal Multi-Party Poisoning Attacks ICML 2019 Universal Perturbation Attack Against Image Retrieval ICCV 2019