RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
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Updated
Nov 5, 2020 - Python
RayS: A Ray Searching Method for Hard-label Adversarial Attack (KDD2020)
Framework for the Adversarial Machine Learning Challenge at CU Denver, showcasing techniques in AI model defense and attack. Role: Lead developer and competition architect
Transformer-based model for accurate and scalable panel time series forecasting. Builds on Temporal Fusion Transformer with innovations like segment-wise attention, multi-scale decomposition, and cross-entity attention.
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