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- Alex Chichung KotSuggested from co-authorship
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Works12 from public data
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- Semantic Deep Hiding for Robust Unlearnable Examples19
A Deep Hiding scheme that adaptively hides semantic images enriched with high-level features, employing an Invertible Neural Network to invisibly integrate predefined images, inherently hiding them with deceptive perturbations is proposed.
- When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models15
Experiments across diverse VLA models, manipulation suites, and physical executions show that UPA-RFAS consistently transfers across models, tasks, and viewpoints, exposing a practical patch-based attack surface and establishing a strong baseline for future defenses.
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Publication data from OpenAlex; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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