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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods NIPS 2019
Model Compression with Adversarial Robustness: A Unified Optimization Framework NIPS 2019
Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks NIPS 2019
Progressive Augmentation of GANs NIPS 2019
Learning from Label Proportions with Generative Adversarial Networks NIPS 2019
Reducing Noise in GAN Training with Variance Reduced Extragradient NIPS 2019
A Game Theoretic Approach to Class-wise Selective Rationalization NIPS 2019
DM2C: Deep Mixed-Modal Clustering NIPS 2019
Image Synthesis with a Single (Robust) Classifier NIPS 2019
Adversarial training for free! NIPS 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NIPS 2019
Approximate Feature Collisions in Neural Nets NIPS 2019
On the Hardness of Robust Classification NIPS 2019
Two Generator Game: Learning to Sample via Linear Goodness-of-Fit Test NIPS 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning NIPS 2019
Robustness Guarantees for Density Clustering AISTATS 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution AISTATS 2019
Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019
Unsupervised Adaptation with Adversarial Dropout Regularization for Robust Speech Recognition INTERSPEECH 2019
Privacy-Preserving Adversarial Representation Learning in ASR: Reality or Illusion? INTERSPEECH 2019
Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition INTERSPEECH 2019
Universal Adversarial Perturbations for Speech Recognition Systems INTERSPEECH 2019
NIESR: Nuisance Invariant End-to-End Speech Recognition INTERSPEECH 2019
Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student Learning INTERSPEECH 2019