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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

SurFree: A Fast Surrogate-Free Black-Box Attack CVPR 2021
LiBRe: A Practical Bayesian Approach to Adversarial Detection CVPR 2021
Semantic Image Matting CVPR 2021
Robust and Accurate Object Detection via Adversarial Learning CVPR 2021
Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021
Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021
Exploring Adversarial Fake Images on Face Manifold CVPR 2021
Representative Forgery Mining for Fake Face Detection CVPR 2021
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization CVPR 2021
Adversarial Imaging Pipelines CVPR 2021
Adversarial Robustness Across Representation Spaces CVPR 2021
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021
PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks CVPR 2021
Zero-Shot Adversarial Quantization CVPR 2021
Adversarial Robustness Under Long-Tailed Distribution CVPR 2021
Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction CVPR 2021
DSRNA: Differentiable Search of Robust Neural Architectures CVPR 2021
Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators CVPR 2021
Linear Semantics in Generative Adversarial Networks CVPR 2021
Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification CVPR 2021
Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021
Defending Multimodal Fusion Models Against Single-Source Adversaries CVPR 2021
Task-Aware Variational Adversarial Active Learning CVPR 2021