To our knowledge, RITFIS is the first framework designed to assess the robustness of LLM-based intelligent software against natural language inputs.
First, the ILA module calculates the attention between adjacent level features of consecutive frames of panoramic video to improve the accuracy of extracting salient object features from the spatial flow.
Motivated by these findings, we propose to exploit elements of sound ($e. g.$, pitch and timbre) to design more stealthy yet effective poison-only backdoor attacks.
Keyword spotting (KWS) based on deep neural networks (DNNs) has achieved massive success in voice control scenarios.
The training of KWS is usually based on deep neural networks and requires a large amount of data.
When light propagates through the edge or middle part of microparticle's incoming interface, there is a basic rule that light converges and diverges rapidly or slowly at the output port.
However, the quality of these applications is far from perfect, leading to a large amount of issues and problems.