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Verifying Integrity of Deep Ensemble Models by Lossless Black-box
  Watermarking with Sensitive Samples

Verifying Integrity of Deep Ensemble Models by Lossless Black-box Watermarking with Sensitive Samples

9 May 2022
Lina Lin
Hanzhou Wu
    AAML
ArXivPDFHTML

Papers citing "Verifying Integrity of Deep Ensemble Models by Lossless Black-box Watermarking with Sensitive Samples"

4 / 4 papers shown
Title
Turn Passive to Active: A Survey on Active Intellectual Property
  Protection of Deep Learning Models
Turn Passive to Active: A Survey on Active Intellectual Property Protection of Deep Learning Models
Mingfu Xue
Leo Yu Zhang
Yushu Zhang
Weiqiang Liu
AAML
AI4CE
15
2
0
15 Oct 2023
Generative Model Watermarking Suppressing High-Frequency Artifacts
Generative Model Watermarking Suppressing High-Frequency Artifacts
Li Zhang
Yong-Jin Liu
Xinpeng Zhang
Hanzhou Wu
AAML
14
2
0
21 May 2023
Generative Model Watermarking Based on Human Visual System
Generative Model Watermarking Based on Human Visual System
Li Zhang
Yong-Jin Liu
Shaoteng Liu
Tianshu Yang
Yexin Wang
Xinpeng Zhang
Han-Yan Wu
21
4
0
30 Sep 2022
Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled
  Membership Inference
Robust and Lossless Fingerprinting of Deep Neural Networks via Pooled Membership Inference
Hanzhou Wu
29
2
0
09 Sep 2022
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