告別“黑匣子”！北大研發新AI框架FakeShield，讓圖像造假無所遁形！
隨着AIGC技術的快速發展，圖像編輯工具日益強大，圖像篡改變得更加容易，也更難被察覺。 雖然現有的圖像篡改檢測和定位方法（IFDL）通常很有效，但它們往往面臨兩大挑戰:一是“黑匣子”性質，檢測原理不明;二是泛化能力有限，難以應對多種篡改方法(如Photoshop、DeepFake、AIGC編輯)。 爲解決這些問題，北京大學的研究團隊提出了可解釋的IFDL任務，並設計了FakeShield，這是一個多模態框架，能夠評估圖像的真實性，生成篡改區域掩碼，並基於像素級和圖像級的篡改線索提供判斷依據。傳統
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