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Papers
Adversarial AutoMixup
ICLR 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
NeurIPS 2024
Adversarial Initialization with Universal Adversarial Perturbation: A New Approach to Fast Adversarial Training
AAAI 2024
Adversarially Robust Multi-task Representation Learning
NeurIPS 2024
Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning
NeurIPS 2024
Adversarial Moment-Matching Distillation of Large Language Models
NeurIPS 2024
Adversarial Robustness Analysis in Automatic Pathological Speech Detection Approaches
Interspeech 2024
Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies
ICML 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
ICLR 2024
Adversarial Training Should Be Cast as a Non-Zero-Sum Game
ICLR 2024
A Joint Noise Disentanglement and Adversarial Training Framework for Robust Speaker Verification
Interspeech 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
NAACL 2024
Annealing Self-Distillation Rectification Improves Adversarial Training
ICLR 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification
JMLR 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
EMNLP 2024
Argument Relation Classification through Discourse Markers and Adversarial Training
EMNLP 2024
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
ICLR 2024
A Sublinear Adversarial Training Algorithm
ICLR 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
EMNLP 2024
AutoLoRa: An Automated Robust Fine-Tuning Framework
ICLR 2024
Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation
IJCAI 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing
NeurIPS 2024
BEEAR: Embedding-based Adversarial Removal of Safety Backdoors in Instruction-tuned Language Models
EMNLP 2024
Benign Overfitting in Adversarial Training of Neural Networks
ICML 2024
Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective
AISTATS 2024