Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security最新文献_第3页

Revisiting Perturbed Quantization 重新审视摄动量化

Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2021-06-17 DOI: 10.1145/3437880.3460396

Jan Butora, J. Fridrich

{"title":"Revisiting Perturbed Quantization","authors":"Jan Butora, J. Fridrich","doi":"10.1145/3437880.3460396","DOIUrl":"https://doi.org/10.1145/3437880.3460396","url":null,"abstract":"In this work, we revisit Perturbed Quantization steganography with modern tools available to the steganographer today, including near-optimal ternary coding and content-adaptive embedding with side-information. In PQ, side-information in the form of rounding errors is manufactured by recompressing a JPEG image with a judiciously selected quality factor. This side-information, however, cannot be used in the same fashion as in conventional side-informed schemes nowadays as this leads to highly detectable embedding. As a remedy, we utilize the steganographic Fisher information to allocate the payload among DCT modes. In particular, we show that the embedding should not be constrained to contributing coefficients only as in the original PQ but should be expanded to the so-called \"contributing DCT modes.\" This approach is extended to color images by slightly modifying the SI-UNIWARD algorithm. Using the best detectors currently available, it is shown that by manufacturing side information with double compression, one can embed the same amount of information into the doubly-compressed cover image with a significantly better security than applying J-UNIWARD directly in the single-compressed image. At the end of the paper, we show that double compression with the same quality makes side-informed steganography extremely detectable and should be avoided.","PeriodicalId":120300,"journal":{"name":"Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130166195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

On the Robustness of Backdoor-based Watermarking in Deep Neural Networks 基于后门的深度神经网络水印鲁棒性研究

Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2021-06-17 DOI: 10.1145/3437880.3460401

Masoumeh Shafieinejad, Nils Lukas, Jiaqi Wang, Xinda Li, F. Kerschbaum

引用次数: 74

iNNformant: Boundary Samples as Telltale Watermarks 告密者:边界样本作为泄密水印

Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2021-06-14 DOI: 10.1145/3437880.3460411

Alexander Schlögl, Tobias Kupek, Rainer Böhme

引用次数: 1

Piracy-Resistant DNN Watermarking by Block-Wise Image Transformation with Secret Key 基于密钥分块图像变换的防盗版DNN水印

Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2021-04-09 DOI: 10.1145/3437880.3460398

Maungmaung Aprilpyone, H. Kiya

引用次数: 13

Exploitation and Sanitization of Hidden Data in PDF Files: Do Security Agencies Sanitize Their PDF Files? PDF文件中隐藏数据的利用和净化:安全机构是否净化了他们的PDF文件?

Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2021-03-03 DOI: 10.1145/3437880.3460405

Supriya Adhatarao, C. Lauradoux

{"title":"Exploitation and Sanitization of Hidden Data in PDF Files: Do Security Agencies Sanitize Their PDF Files?","authors":"Supriya Adhatarao, C. Lauradoux","doi":"10.1145/3437880.3460405","DOIUrl":"https://doi.org/10.1145/3437880.3460405","url":null,"abstract":"Organizations publish and share more and more electronic documents like PDF files. Unfortunately, most organizations are unaware that these documents can compromise sensitive information like authors names, details on the information system and architecture. All these information can be exploited easily by attackers to footprint and later attack an organization. In this paper, we analyze hidden data found in the PDF files published by an organization. We gathered a corpus of 39664 PDF files published by 75 security agencies from 47 countries. We have been able to measure the quality and quantity of information exposed in these PDF files. It can be effectively used to find weak links in an organization: the employees who are running outdated software. We have also measured the adoption of PDF files sanitization by security agencies. We identified only 7 security agencies which sanitize few of their PDF files before publishing. Unfortunately, we were still able to find sensitive information within 65% of these sanitized PDF files. Some agencies are using weak sanitization techniques: it requires to remove all the hidden sensitive information from the file and not just to remove the data at the surface. Security agencies need to change their sanitization methods.","PeriodicalId":120300,"journal":{"name":"Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115700942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6