Nan Cheng
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PrismWF introduces a multi-granularity patch-based Transformer to significantly improve website fingerprinting attacks by effectively modeling complex, mixed-traffic patterns from multi-tab browsing sessions.
This paper proposes a test-time scaling approach for Vision-Language Models in Unmanned Aerial Vehicle navigation, enabling self-correction and generation of more accurate and reliable flight plans.
Papers
No Training, Better Flights: Test-Time Scaled VLMs for UAV Navigation
Feinan Cheng, Dongliang Xu, Wenli Nong, Zhiheng Zhang +3 more
This paper proposes a test-time scaling approach for Vision-Language Models in Unmanned Aerial Vehicle navigation, enabling self-correction and generation of more accurate and reliable flight plans.