[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-red-queen-attack":3},{"tag":4,"articles":10},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":9},"fec284d7-8a30-4e0b-a7ba-38dd9aeaaf21","Red Queen attack","red-queen-attack",1,null,[11],{"id":12,"slug":13,"title":14,"summary":15,"category":16,"image_url":17,"cover_image":17,"language":18,"created_at":19},"7ec4baa4-f0af-441e-a97d-56f81a2ca854","avise-ai-security-evaluation-framework-zh","AVISE 模組化測 AI 安全漏洞","AVISE 是一個開源 AI 安全評估框架，主打模組化漏洞測試。論文用 25 個 jailbreak 測試案例與自動判定流程，驗證 9 個模型都能被攻破。","research","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1776924771424-kztu.png","zh","2026-04-23T06:12:30.770582+00:00"]