מושגי ליבה
Natural language understanding enhances backdoor attacks in NLP models, as demonstrated by Imperio.
תקציר
Abstract:
NLP advancements lead to new backdoor threats.
Imperio uses language to control victim models.
Introduction:
Backdoor attacks manipulate model predictions.
Methodology:
Imperio uses language-guided trigger generation.
Evaluation:
Imperio is effective with known and unknown instructions.
Transferability Studies:
Pretrained trigger generators can control new models through data poisoning.
Resilience Against Defenses:
Imperio shows resilience against various defenses.
סטטיסטיקה
自然言語処理(NLP)の進歩により、新しいバックドア脅威が生じています。
Imperioは言語を使用して被害者モデルを制御します。