Tag: adversarial machine learning
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parHSOM: Fast Parallel Hierarchical Self-Organizing Map
Discover parHSOM, a parallel HSOM model boosting training speed for AI-based intrusion detection without compromising performance or scalability.
VT-Bench: Benchmark for Visual-Tabular Multi-Modal AI
Discover VT-Bench, the first unified benchmark for visual-tabular multi-modal learning with 14 datasets across 9 domains, advancing AI research.
NoiseRater: Enhancing Diffusion Model Training with Noise Valuation
Discover NoiseRater, a meta-learning framework that improves diffusion model training by valuing noise samples for faster, higher-quality results.
HoReN: Scalable Model Editing for Large Language Models
Discover HoReN, a scalable normalized Hopfield retrieval method for efficient, accurate large-scale sequential model editing in AI systems.
DARE: Boost Diffusion LLM Efficiency with Activation Reuse
Discover how DARE improves diffusion language models by reusing activations for faster, efficient inference with minimal performance loss.