Co-occurring keywords · papers mentioning both
Papers
Defending Multimodal Fusion Models Against Single-Source Adversaries
CVPR 2021
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples
EACL 2021
What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations
EMNLP 2021
Adversarial Examples for Graph Data: Deep Insights into Attack and Defense
IJCAI 2019
Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification
EMNLP 2019
Defense Against Universal Adversarial Perturbations
CVPR 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
ICLR 2018