Existing prompt learning methods, which are built upon CLIP models, leverage textual tokens as anchors to guide the learnable soft tokens. This guidance improves CLIP generalizations. However, these ...

Abstract: Vulnerability detection in source code has been a focal point of research in recent years. Traditional rule-based methods fail to identify complex and unknown vulnerabilities, leading to ...

Abstract: This paper presents a high level method called Matrix code to protect SRAM-based memories against multiple bit upsets. The proposed method combines hamming code and parity code to assure the ...