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Adversarial Learning

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Incremental Learning Using Conditional Adversarial Networks ICCV 2019
A New GAN-Based End-to-End TTS Training Algorithm INTERSPEECH 2019
Development of Robust Automated Scoring Models Using Adversarial Input for Oral Proficiency Assessment INTERSPEECH 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes NIPS 2019
CAMO: A Collaborative Ranking Method for Content Based Recommendation AAAI 2019
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary AAAI 2019
A Domain Agnostic Measure for Monitoring and Evaluating GANs NIPS 2019
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching AAAI 2019
Certified Adversarial Robustness with Additive Noise NIPS 2019
Partially Encrypted Deep Learning using Functional Encryption NIPS 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games NIPS 2019
Improved Generalization Bounds for Robust Learning ALT 2019
Can Adversarially Robust Learning LeverageComputational Hardness? ALT 2019
Provably robust boosted decision stumps and trees against adversarial attacks NIPS 2019
Convergence of Adversarial Training in Overparametrized Neural Networks NIPS 2019
Adversarial Binary Collaborative Filtering for Implicit Feedback AAAI 2019
Revisiting Adversarial Autoencoder for Unsupervised Word Translation with Cycle Consistency and Improved Training NAACL 2019
An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning AAAI 2019
Feature Space Perturbations Yield More Transferable Adversarial Examples CVPR 2019
Sensitivity Analysis of Deep Neural Networks AAAI 2019
Discriminator optimal transport NIPS 2019
RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation CVPR 2019
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation ICCV 2019
Massively Multilingual Adversarial Speech Recognition NAACL 2019
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks ICCV 2019