Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security最新文献_第3页

BlindSpot: Watermarking Through Fairness 盲点:通过公平进行水印

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-06-23 DOI: 10.1145/3531536.3532950

Sofiane Lounici, Melek Önen, Orhan Ermis, S. Trabelsi

{"title":"BlindSpot: Watermarking Through Fairness","authors":"Sofiane Lounici, Melek Önen, Orhan Ermis, S. Trabelsi","doi":"10.1145/3531536.3532950","DOIUrl":"https://doi.org/10.1145/3531536.3532950","url":null,"abstract":"With the increasing development of machine learning models in daily businesses, a strong need for intellectual property protection arised. For this purpose, current works suggest to leverage backdoor techniques to embed a watermark into the model, by overfitting to a set of particularly crafted and secret input-output pairs called triggers. By sending verification queries containing triggers, the model owner can analyse the behavior of any suspect model on the queries to claim its ownership. However, when it comes to scenarios where frequent monitoring is needed, the computational overhead of these verification queries in terms of volume demonstrates that backdoor-based watermarking appears to be too sensitive to outlier detection attacks and cannot guarantee the secrecy of the triggers. To solve this issue, we introduce BlindSpot, to watermark machine learning models through fairness. Our trigger-less approach is compatible with a high number of verification queries while being robust to outlier detection attacks. We show on Fashion-MNIST and CIFAR-10 datasets that BlindSpot is efficiently watermarking models while robust to outlier detection attacks, at a performance cost on the accuracy of 2%.","PeriodicalId":164949,"journal":{"name":"Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125902715","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: 4

Colmade: Collaborative Masking in Auditable Decryption for BFV-based Homomorphic Encryption 基于bfv的同态加密可审计解密中的协同掩蔽

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-06-23 DOI: 10.1145/3531536.3532952

Alberto Ibarrondo, H. Chabanne, V. Despiegel, Melek Önen

引用次数: 1

FMFCC-V: An Asian Large-Scale Challenging Dataset for DeepFake Detection FMFCC-V:亚洲深度假检测的大规模挑战性数据集

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-06-23 DOI: 10.1145/3531536.3532946

Gen Li, Xianfeng Zhao, Yun Cao, Pengfei Pei, Jinchuan Li, Zeyu Zhang

{"title":"FMFCC-V: An Asian Large-Scale Challenging Dataset for DeepFake Detection","authors":"Gen Li, Xianfeng Zhao, Yun Cao, Pengfei Pei, Jinchuan Li, Zeyu Zhang","doi":"10.1145/3531536.3532946","DOIUrl":"https://doi.org/10.1145/3531536.3532946","url":null,"abstract":"The abuse of DeepFake technique has raised enormous public concerns in recent years. Currently, the existing DeepFake datasets suffer some weaknesses of obvious visual artifacts, minimal Asian proportion, backward synthesis methods and short video length. To make up these weaknesses, we have constructed an Asian large-scale challenging DeepFake dataset to enable the training of DeepFake detection models and organized the accompanying video track of the first Fake Media Forensics Challenge of China Society of Image and Graphics (FMFCC-V). The FMFCC-V dataset is by far the first and the largest public available Asian dataset for DeepFake detection, which contains 38102 DeepFake videos and 44290 pristine videos, corresponding more than 23 million frames. The source videos in the FMFCC-V dataset are carefully collected from 83 paid individuals and all of them are Asians. The DeepFake videos are generated by four of the most popular face swapping methods. Extensive perturbations are applied to obtain a more challenging benchmark of higher diversity. The FMFCC-V dataset can lend powerful support to the development of more effective DeepFake detection methods. We contribute a comprehensive evaluation of six representative DeepFake detection methods to demonstrate the level of challenge posed by FMFCC-V dataset. Meanwhile, we provide a detailed analysis of the top submissions from the FMFCC-V competition.","PeriodicalId":164949,"journal":{"name":"Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security","volume":"38 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113981037","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: 3

Towards Generalization in Deepfake Detection 面向深度伪造检测的泛化

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-06-23 DOI: 10.1145/3531536.3532956

L. Verdoliva

引用次数: 0

Session details: Session 3: Security & Privacy I 会议详情:第三部分:安全与隐私

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-06-23 DOI: 10.1145/3545213

B. S. Manjunath

引用次数: 0

Session details: Session 6: Steganography II 会议详情:会议6:隐写术II

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-06-23 DOI: 10.1145/3545216

Jan Butora

引用次数: 0

Collusion-resistant Fingerprinting of Parallel Content Channels 并行内容通道的抗合谋指纹识别

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-04-18 DOI: 10.1145/3531536.3532953

B. Joudeh, B. Škorić

引用次数: 0

Covert Communications through Imperfect Cancellation 通过不完全取消的秘密通信

Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia Security Pub Date : 2022-01-25 DOI: 10.1145/3531536.3532959

Daniel Chew, Christine Nguyen, Samuel Berhanu, Chris Baumgart, A. Cooper

引用次数: 0