MAGIC-Flow: Multiscale Adaptive Conditional Flows for Generation and Interpretable Classification
机构 * MOX, Department of Mathematics Politecnico di Milano(米兰理工大学数学系MOX部门)
专题命中 隐私与版权 :alignment(abstract);trustworthy(abstract);分类 cs.LG
AI 大模型
大模型对齐、安全、越狱、红队、提示注入和可信评测。
机构 * MOX, Department of Mathematics Politecnico di Milano(米兰理工大学数学系MOX部门)
专题命中 隐私与版权 :alignment(abstract);trustworthy(abstract);分类 cs.LG
专题命中 隐私与版权 :alignment(abstract);分类 cs.LG
Comments This is a preprint version of a paper currently under review for possible publication in IEEE TDSC
机构 * School of Artificial Intelligence and Robotics, Hunan University(湖南大学人工智能与机器人学院) ; Institute of Remote Sensing and Geographic Information System, Peking University(北京大学遥感与地理信息系统研究所) ; School of Automation, Central South University(中南大学自动化学院) ; Electronic Information School, Wuhan University(武汉大学电子信息学院) ; Helmholtz-Zentrum Dresden-Rossendorf(德累斯顿-罗斯托克亥姆霍尔茨中心) ; Lancaster Environment Centre, Lancaster University(兰卡斯特大学环境研究中心) ; Hyperspectral Computing Laboratory, Department of Technology of Computers and Communications, Escuela Politécnica, University of Extremadura(埃斯特雷马杜拉大学技术计算机与通讯系超光谱计算实验室)
专题命中 隐私与版权 :alignment(abstract)