Adversarial Learning

Backstitch: Counteracting Finite-Sample Bias via Negative Steps Interspeech 2017 Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model NeurIPS 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Certified Defenses for Data Poisoning Attacks NeurIPS 2017 Conditional Generative Adversarial Nets Classifier for Spoken Language Identification Interspeech 2017 Conditional Generative Adversarial Networks for Commonsense Machine Comprehension IJCAI 2017 Controllable Invariance through Adversarial Feature Learning NeurIPS 2017 Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks CVPR 2017 Deep Transfer Learning with Joint Adaptation Networks ICML 2017 Disguise Adversarial Networks for Click-through Rate Prediction IJCAI 2017 Domain Adaptation for Relation Extraction with Domain Adversarial Neural Network IJCNLP 2017 Dual Discriminator Generative Adversarial Nets NeurIPS 2017 Dualing GANs NeurIPS 2017 Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017 End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification IJCAI 2017 End-to-End Differentiable Adversarial Imitation Learning ICML 2017 Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters CVPR 2017 Few-Shot Adversarial Domain Adaptation NeurIPS 2017 Fisher GAN NeurIPS 2017 Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation NeurIPS 2017 Generalization and Equilibrium in Generative Adversarial Nets (GANs) ICML 2017 Generalizing GANs: A Turing Perspective NeurIPS 2017 Generating steganographic images via adversarial training NeurIPS 2017 Generating the Future With Adversarial Transformers CVPR 2017 Generative Adversarial Network-Based Postfilter for STFT Spectrograms Interspeech 2017