Co-occurring keywords · papers mentioning both
Papers
Contrastive Learning with Adversarial Examples for Alleviating Pathology of Language Model
ACL 2023
CT-GAT: Cross-Task Generative Adversarial Attack based on Transferability
EMNLP 2023
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
CVPR 2023
Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
CVPR 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
NeurIPS 2023
Downstream-agnostic Adversarial Examples
ICCV 2023
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
JMLR 2023
Extracting Robust Models with Uncertain Examples
ICLR 2023
Failure-Resistant Intelligent Interaction for Reliable Human-AI Collaboration
AAAI 2023
Finding Actual Descent Directions for Adversarial Training
ICLR 2023
Frequency-aware GAN for Adversarial Manipulation Generation
ICCV 2023
Generalist: Decoupling Natural and Robust Generalization
CVPR 2023
General-purpose Adversarial Training for Enhanced Automatic Speech Recognition Model Generalization
Interspeech 2023
Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization
AAAI 2023
Generative Adversarial Training with Perturbed Token Detection for Model Robustness
EMNLP 2023
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos
AAAI 2023
Global-Local Regularization Via Distributional Robustness
AISTATS 2023
How to Choose your Best Allies for a Transferable Attack?
ICCV 2023
Identification of the Adversary from a Single Adversarial Example
ICML 2023
ILA-DA: Improving Transferability of Intermediate Level Attack with Data Augmentation
ICLR 2023
Imperceptible Adversarial Attack via Invertible Neural Networks
AAAI 2023
Improving Adversarial Transferability via Intermediate-level Perturbation Decay
NeurIPS 2023
Improving Robust Fariness via Balance Adversarial Training
AAAI 2023
Inequality phenomenon in l_∞-adversarial training, and its unrealized threats
ICLR 2023
Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
CVPR 2023