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Adversarial Learning

2,112 papers

Papers per year

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Papers

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks CVPR 2021
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
Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021
Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021
Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021
Backdoor Attacks Against Deep Learning Systems in the Physical World CVPR 2021
Dual Contradistinctive Generative Autoencoder CVPR 2021
Simpler Certified Radius Maximization by Propagating Covariances CVPR 2021
Exploring Adversarial Fake Images on Face Manifold CVPR 2021
Representative Forgery Mining for Fake Face Detection CVPR 2021
Universal Spectral Adversarial Attacks for Deformable Shapes 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
Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation 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
Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement CVPR 2021
Zero-Shot Adversarial Quantization CVPR 2021