Tag: adversarial machine learning
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Efficient Probabilistic Value Estimation with EASE Method
Discover EASE, a novel estimator improving first-order efficiency in probabilistic value estimation for explainable AI and data valuation.
Challenges in Dysarthric Speech Recognition Using Audio-Language Models
Explore why audio-language models struggle with multimodal context in dysarthric speech recognition and the need for improved ASR techniques.
Triple Spectral Fusion for Accurate Activity Recognition
Discover the triple spectral fusion framework enhancing sensor-based human activity recognition with advanced filtering and multi-sensor fusion techniques.
Hierarchical Multi-Label Learning to Defer in Medical Imaging
Discover a novel coherent hierarchical multi-label learning approach to defer decisions in medical imaging, improving accuracy and clinical workflow.
Causality Solves Trustworthy AI Invariance Conflicts
Explore how causality addresses invariance conflicts to enhance fairness, robustness, and transparency in trustworthy AI systems.