Co-occurring keywords · papers mentioning both
Papers
Perturbed and Strict Mean Teachers for Semi-Supervised Semantic Segmentation
CVPR 2022
Towards Lightweight Black-Box Attack Against Deep Neural Networks
NeurIPS 2022
Watermarking for Out-of-distribution Detection
NeurIPS 2022
Encoding Robustness to Image Style via Adversarial Feature Perturbations
NeurIPS 2021
Explanation Consistency Training: Facilitating Consistency-Based Semi-Supervised Learning with Interpretability
AAAI 2021
Towards Feature Space Adversarial Attack by Style Perturbation
AAAI 2021
Diversified Arbitrary Style Transfer via Deep Feature Perturbation
CVPR 2020
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness
CVPR 2020
Learning Transferable Adversarial Examples via Ghost Networks
AAAI 2020
On Counterfactual Explanations under Predictive Multiplicity
UAI 2020
Feature Space Perturbations Yield More Transferable Adversarial Examples
CVPR 2019
Class Consistent Multi-Modal Fusion With Binary Features
CVPR 2015