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

Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification IJCAI 2024
Fact Checking Beyond Training Set NAACL 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024
Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation NAACL 2024
PIXAR: Auto-Regressive Language Modeling in Pixel Space ACL 2024
The Emergence of High-Level Semantics in a Signaling Game NAACL 2024
Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches INTERSPEECH 2024
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024
Random Entangled Tokens for Adversarially Robust Vision Transformer CVPR 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction NAACL 2024
Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization AAAI 2024
DRF: Improving Certified Robustness via Distributional Robustness Framework AAAI 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024
Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning AAAI 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NIPS 2024
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024
Detection and Defense of Unlearnable Examples AAAI 2024
READ: Improving Relation Extraction from an ADversarial Perspective NAACL 2024
XAI-Attack: Utilizing Explainable AI to Find Incorrectly Learned Patterns for Black-Box Adversarial Example Creation COLING 2024
Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training COLING 2024
Work in Progress: Text-to-speech on Edge Devices for Te Reo Māori and ‘Ōlelo Hawaiʻi COLING 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations for Universal Robustness NIPS 2024
Fight Back Against Jailbreaking via Prompt Adversarial Tuning NIPS 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training AAAI 2024