Research Below are selected research projects and paper pages with summaries, figures, and links.
Published: January 15, 2026
A defense framework that disrupts semantic and gradient alignment across bit-widths to prevent patch transferability in quantized neural networks.
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Published: January 15, 2026
A stochastic differentiable defense framework that breaks gradient consensus via divergent responses across filtered transformations.
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Published: May 15, 2025
A framework that significantly improves black-box adversarial attack transferability from Vision Transformers via spectral and semantic regularization.
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Published: June 01, 2024
A dynamic adversarial patch that adapts spatially and temporally to effectively evade modern person detection models under realistic conditions.
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