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Cited by 24Digital Media Forensic DetectionAdvanced Steganography and Watermarking TechniquesAdversarial Robustness in Machine Learning

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Smart Watermark to Defend against Deepfake Image Manipulation

Lv, Luochen·2021·2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)
DOI 10.1109/icccs52626.2021.9449287
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Abstract

Deepfake image manipulation has become a serious security threat to the social network. Currently, there are limited studies on protective methods that are against Deepfake image manipulation. To tackle this problem, we here propose an adversary attack based smart watermark model, which adds unperceptive watermarks to images so that the images become adversary examples to Deepfake models. When the Deepfake manipulates these watermarked images, the manipulated images become blur. The manipulation thus can be easily recognized by human and machines. Our experiments have shown that our model outperforms the SOTA and can be used to effectively prevent Deepfake manipulation.

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Cites

Show all 2 references

Research works printed but not linked: 28

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Metadata

Authors
Lv, L.
Affiliations
Shanghai Jiao Tong University (CN)
Corresponding author
Lv, Luochen
Venue
2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)
Publisher
IEEE
Published
2021-04-23
Pages
380-384
DOI
10.1109/icccs52626.2021.9449287
OpenAlex
W3176547173
Cited by
24
References
2
Citations by year
2026: 4 · 2025: 4 · 2024: 6 · 2023: 7 · 2022: 3
FWCI
1.31
Type
conference paper
Language
en
Open access
closed
Licence
Locations
International Conference on Computer and Communication Systems (ICCCS) (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Digital Media Forensic Detection
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Steganography and Watermarking Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Adversarial Robustness in Machine Learning
Keywords
deepfake detection, image watermarking, adversarial examples, image editing, image blurring, social media security

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