Journal
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
Volume 17, Issue -, Pages 3539-3554Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2022.3204218
Keywords
Protocols; Detectors; Games; Costs; Steganography; Security; Distortion; Steganography; steganalysis; distortion function; adversarial attacks
Funding
- French National Research Agency [ANR-18-ASTR-0009]
- ALASKA Project
- French ANR DEFALS Program [ANR-16-DEFA-0003]
- Research Center for Informatics, OP VVV Project [CZ.02.1.01/0.0/0.0/16_019/0000765]
- Czech Ministry of Education [19-29680L]
- Grand Equipement National de Calcul Intensif (GENCI) [2019-AD011011259, 2022-AD011012567R1]
- Agence Nationale de la Recherche (ANR) [ANR-18-ASTR-0009] Funding Source: Agence Nationale de la Recherche (ANR)
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The minmax protocol automatically optimizes steganographic algorithms against various steganalytic detectors, while Backpack provides a theoretically sound solution to address the flaws in the protocol. Experimental verification shows that Backpack performs better than ADV-EMB and enhances the security of steganographic algorithms.
A minmax protocol offers a general method to automatically optimize steganographic algorithm against a wide class of steganalytic detectors. The quality of the resulting steganograhic algorithm depends on the ability to find an adversarial stego image undetectable by a set of detectors while communicating a given message. Despite minmax protocol instantiated with ADV-EMB scheme leading to unexpectedly good results, we show it suffers a significant flaw and we present a theoretically sound solution called Backpack. Extensive experimental verification of minmax protocol with Backpack shows superior performance to ADV-EMB, the generality of the tool by targeting a new JPEG QF100 compatibility attack and further improves the security of steganographic algorithms.
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