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Adversarial Learning

2,112 papers

Papers per year

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Papers

Adversarial Examples for Edge Detection: They Exist, and they Transfer WACV 2020
ImaGINator: Conditional Spatio-Temporal GAN for Video Generation WACV 2020
One-to-one Mapping for Unpaired Image-to-image Translation WACV 2020
Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning WACV 2020
Multi-way Encoding for Robustness WACV 2020
TwoStreamVAN: Improving Motion Modeling in Video Generation WACV 2020
CrossNet: Latent Cross-Consistency for Unpaired Image Translation WACV 2020
Large Scale Adversarial Representation Learning NIPS 2019
Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NIPS 2019
Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NIPS 2019
Improving Black-box Adversarial Attacks with a Transfer-based Prior NIPS 2019
Unsupervised Object Segmentation by Redrawing NIPS 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers NIPS 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness NIPS 2019
Learning from Label Proportions with Generative Adversarial Networks NIPS 2019
RUBi: Reducing Unimodal Biases for Visual Question Answering NIPS 2019
Adversarial Training and Robustness for Multiple Perturbations NIPS 2019
Deep Leakage from Gradients NIPS 2019
DM2C: Deep Mixed-Modal Clustering NIPS 2019
Functional Adversarial Attacks NIPS 2019
Image Synthesis with a Single (Robust) Classifier NIPS 2019
On Relating Explanations and Adversarial Examples NIPS 2019
Adversarial training for free! NIPS 2019
Defending Neural Backdoors via Generative Distribution Modeling NIPS 2019
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness NIPS 2019