Tag: adversarial machine learning
Browse our exclusive articles!
DMGD: Train-Free Dataset Distillation for Diffusion Models
Discover DMGD, a train-free dataset distillation method using semantic-distribution matching to boost diffusion model efficiency and accuracy.
Improving LVLM Learning with ReMem Unlearning Benchmark
Discover how ReMem enhances LVLM learning and unlearning by addressing foundational failures and boosting privacy in AI models.
Optimizing LoRA Fine-Tuning: New Insights on Rank Thresholds
Discover how recent research challenges LoRA fine-tuning rank thresholds, enabling efficient binary classification with minimal rank settings.
Amortized Variational Inference for Bayesian Uncertainty Quantification
Discover an efficient amortized variational inference method for joint posterior and predictive distributions in Bayesian uncertainty quantification.
SERE: Boosting LLMs for Accurate Event Causality Detection
Discover how SERE enhances large language models with structural example retrieval to improve event causality identification accuracy in NLP tasks.