Adversarial Learning
1,500 papers
Papers per year
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Papers
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settings
NeurIPS 2020
VIBE: Video Inference for Human Body Pose and Shape Estimation
CVPR 2020
Weighted-Sampling Audio Adversarial Example Attack
AAAI 2020
Weight Poisoning Attacks on Pretrained Models
ACL 2020
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images
CVPR 2020
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks
CVPR 2020
Word-level Textual Adversarial Attacking as Combinatorial Optimization
ACL 2020
x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification
Interspeech 2020
Abstractive Text Summarization by Incorporating Reader Comments
AAAI 2019
A Direct Approach to Robust Deep Learning Using Adversarial Networks
ICLR 2019
Adversarial Active Exploration for Inverse Dynamics Model Learning
CoRL 2019
Adversarial Attacks Beyond the Image Space
CVPR 2019
Adversarial Attacks on Neural Networks for Graph Data
IJCAI 2019
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks
ICCV 2019
Adversarial Defense Through Network Profiling Based Path Extraction
CVPR 2019
Adversarial Examples Are Not Bugs, They Are Features
NeurIPS 2019
Adversarial Label Learning
AAAI 2019
Adversarial Music: Real world Audio Adversary against Wake-word Detection System
NeurIPS 2019
Adversarial Reprogramming of Text Classification Neural Networks
EMNLP 2019
Adversarial Training and Robustness for Multiple Perturbations
NeurIPS 2019
Adversarial training for free!
NeurIPS 2019
A Geometric Perspective on the Transferability of Adversarial Directions
AISTATS 2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection
CVPR 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
CVPR 2019
A Little Is Enough: Circumventing Defenses For Distributed Learning
NeurIPS 2019