Tag: adversarial machine learning
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MetaErr: Predicting Error Patterns in Deep Neural Nets
Discover MetaErr, a novel framework for predicting failure patterns in deep neural networks to improve reliability and performance in AI applications.
Impact of Architecture on Symbolic Regression Success
Explore how architectural choices affect symbolic regression accuracy and efficiency in AI-driven mathematical discovery.
Privacy-Preserving ML Training with Homomorphic Encryption
Discover a framework for training machine learning models on encrypted data using homomorphic encryption to ensure privacy without sacrificing accuracy.
AnalogRetriever: Cross-Modal Analog Circuit Search Tool
Discover AnalogRetriever, a tri-modal framework for efficient analog circuit retrieval across schematics, netlists, and descriptions with 75%+ accuracy.
UpstreamQA: Modular Framework for Video Question Answering
Discover UpstreamQA, a modular framework enhancing explicit reasoning and interpretability in video question answering tasks for better AI performance.