conftrace_

adversarial training

1262 papers

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Also known as

AT

Co-occurring keywords

adversarial robustness (1341) adversarial learning (1595) domain adaptation (4595) adversarial attack (1621) neural network (6616) text classification (6793) model robustness (480) adversarial example (564) data augmentation (3052) generative adversarial network (1944)

Papers

Adversarial Self-Training Improves Robustness and Generalization for Gradual Domain Adaptation NIPS 2023
Large Language Models Are Better Adversaries: Exploring Generative Clean-Label Backdoor Attacks Against Text Classifiers EMNLP 2023
Improving Cross-modal Alignment for Text-Guided Image Inpainting EACL 2023
TexPose: Neural Texture Learning for Self-Supervised 6D Object Pose Estimation CVPR 2023
Adversarial Multi-task Learning for End-to-end Metaphor Detection ACL 2023
Cross-lingual Data Augmentation for Document-grounded Dialog Systems in Low Resource Languages ACL 2023
SUTNLP at SemEval-2023 Task 4: LG-Transformer for Human Value Detection SEMEVAL 2023
Tracking Different Ant Species: An Unsupervised Domain Adaptation Framework and a Dataset for Multi-object Tracking IJCAI 2023
Impact of Adversarial Training on Robustness and Generalizability of Language Models ACL 2023
PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts ACL 2023
Revisiting Residual Networks for Adversarial Robustness CVPR 2023
Learning 3D-Aware Image Synthesis With Unknown Pose Distribution CVPR 2023
Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples ICML 2023
ISAACS: Iterative Soft Adversarial Actor-Critic for Safety L4DC 2023
Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data ICML 2023
CUDA: Convolution-Based Unlearnable Datasets CVPR 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023
Phase-aware Adversarial Defense for Improving Adversarial Robustness ICML 2023
Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023
Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation ICCV 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training ICML 2023
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations ICML 2023
Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction ICCV 2023
Fair Text Classification with Wasserstein Independence EMNLP 2023