@inproceedings{2db745db40fb40b4815491fe61a24788,
title = "Observing Bag Gain in JPEG Batch Steganography",
abstract = "The bag gain relates to a gain in security due to spreading payload among multiple covers when the steganographer maintains a positive communication rate. This gain is maximal for a certain optimal bag size, which depends on the embedding method, payload spreading strategy, communication rate, and the cover source. Originally discovered and analyzed in the spatial domain, in this paper we study this phenomenon for JPEG images across quality factors. Our experiments and theoretical analysis indicate that the bag gain is more pronounced for senders that assign payloads based on image content more aggressively and maintain a fixed payload per bag in terms of bits per DCT rather than per non-zero AC DCT. We also observe a larger bag gain for higher JPEG qualities.",
keywords = "Batch steganography, JPEG, bag gain, pooled steganalysis",
author = "Edgar Kaziakhmedov and Eli Dworetzky and Jessica Fridrich",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Workshop on Information Forensics and Security, WIFS 2023 ; Conference date: 04-12-2023 Through 07-12-2023",
year = "2023",
doi = "10.1109/WIFS58808.2023.10374876",
language = "English",
series = "WIFS 2023 - IEEE Workshop on Information Forensics and Security",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "WIFS 2023 - IEEE Workshop on Information Forensics and Security",
}