Tag: adversarial machine learning
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Empirical Study of Feature Repulsion in Two-Layer Network Grokking
Explore how feature repulsion and spectral lock-in affect learning dynamics in two-layer neural networks with different activation functions.
Safety-Aware Denoiser for Secure Text Diffusion Models
Discover the Safety-Aware Denoiser, a novel framework enhancing safety in text diffusion models without retraining, ensuring secure and fluent text generat...
Boost AI Code Compliance 49% with Product Context
Learn how integrating product context into AI coding agents improves decision compliance by 49%, enhancing software development accuracy and productivity.
TTCD: Advanced Temporal Causal Discovery for Non-Stationary Data
Discover causal relationships in non-stationary time series with TTCD, a transformer-based framework enhancing accuracy and robustness in complex datasets.
BaLoRA: Bayesian Low-Rank Adaptation for Large Models
Discover BaLoRA, a Bayesian extension of LoRA that improves fine-tuning accuracy and uncertainty estimation in large-scale models.