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Adversarial Learning

4,854 papers

Papers per year

Papers

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation CVPR 2021
Inverting Generative Adversarial Renderer for Face Reconstruction CVPR 2021
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation 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
FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems CVPR 2021
Adversarially Adaptive Normalization for Single Domain Generalization CVPR 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation CVPR 2021
Defending Multimodal Fusion Models Against Single-Source Adversaries CVPR 2021
Generalized Domain Adaptation CVPR 2021
BASAR:Black-Box Attack on Skeletal Action Recognition CVPR 2021
IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking CVPR 2021
Unpaired Image-to-Image Translation via Latent Energy Transport CVPR 2021
Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs CVPR 2021
Data-Free Model Extraction CVPR 2021
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation CVPR 2021
Training Generative Adversarial Networks in One Stage CVPR 2021
On the Difficulty of Membership Inference Attacks CVPR 2021
Task-Aware Variational Adversarial Active Learning CVPR 2021
Class-Aware Robust Adversarial Training for Object Detection CVPR 2021
Improving the Transferability of Adversarial Samples With Adversarial Transformations CVPR 2021
LAFEAT: Piercing Through Adversarial Defenses With Latent Features CVPR 2021
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems CVPR 2021
How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? CVPR 2021
The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021