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Register a new userFrustratingly Easy Edit-based Linguistic Steganography with a Masked Language Model
إحباط إذخانيا لغوي سهلة تحرير مع نموذج لغة ملثم
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مع التقدم في نماذج اللغة العصبية، تحول تركيز إجراءات الاختاذ اللغوية من النهج القائمة على الأجيال القائمة على الأجيال.في حين أن قدرة الحمولة الأخيرة في الحمولة مثيرة للإعجاب، تظل توليد النصوص الحقيقية مظاهرة تحديا.في هذه الورقة، نقوم بإعادة النظر في إجراء إخفاء التشريطات اللغوي المستندة إلى التحرير، مع فكرة أن نموذج لغة مانع يوفر حل خارج الرف.الطريقة المقترحة تلغي بناء القاعدة المضنية ولديها قدرة حمولة عالية للنموذج المستند إلى التحرير.يظهر أيضا أنه أكثر أمانا ضد الكشف التلقائي من الأسلوب القائم على الجيل أثناء تقديم سيطرة أفضل على إيقاف تشغيل سعة الحمولة / الحمولة الأمنية.
With advances in neural language models, the focus of linguistic steganography has shifted from edit-based approaches to generation-based ones. While the latter's payload capacity is impressive, generating genuine-looking texts remains challenging. In this paper, we revisit edit-based linguistic steganography, with the idea that a masked language model offers an off-the-shelf solution. The proposed method eliminates painstaking rule construction and has a high payload capacity for an edit-based model. It is also shown to be more secure against automatic detection than a generation-based method while offering better control of the security/payload capacity trade-off.
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