为了提升书生大模型的对抗鲁棒性,本项目采用以下方法:对书生大模型分别进行对抗微调、对抗训练和利用提示词。 对以上方法进行对抗鲁棒性的评估。为了全面评估InternVL的对抗鲁棒性,采用白盒攻击、迁移攻击和高效的查询攻击。
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