The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
RO-SVD: A Reconfigurable Hardware Copyright Protection Framework for AIGC Applications
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In the citing paper
“Ran et al. (2024) proposed to record the lifecycle of AI-generated content (AIGC) on the blockchain, validating its origin by uniquely identifying the hardware system that produced it.”
From Generative AI and intellectual property: a systematic literature review of possible issues and mitigations (2026) · cites this paper as Ran et al. (2024)
In the citing paper
“The researchers successfully isolated the component of the RO signal that remains unaffected by environmental noise, enabling the generation of a unique identifier for each hardware system.”
From Generative AI and intellectual property: a systematic literature review of possible issues and mitigations (2026) · cites this paper as Ran et al. (2024)
In the citing paper
“It exploits the distinct oscillation patterns of Ring Oscillators (ROs) embedded in hardware systems, which exhibit slight variations due to manufacturing differences.”
From Generative AI and intellectual property: a systematic literature review of possible issues and mitigations (2026) · cites this paper as Ran et al. (2024)
In the citing paper
“According to Ran et al. (2024), blockchain offers a valuable foundation for AIGC copyright management.It can provide a transparent and immutable record of content provenance, encompassing both the time of creation and associated copyright information, which can be encrypted and securely stored.”
From Generative AI and intellectual property: a systematic literature review of possible issues and mitigations (2026) · cites this paper as Ran et al. (2024)
In the citing paper
“Furthermore, smart contracts can be employed to automatically execute copyright-related transactions, enhancing transparency and efficiency while reducing the risk of copyright infringement and legal disputes.”
From Generative AI and intellectual property: a systematic literature review of possible issues and mitigations (2026) · cites this paper as Ran et al. (2024)
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Citations
Cites
Sanka, A. I., Irfan, M., Huang, I., & Cheung, R. C. C. (2021) · Computer Communications · doi:10.1016/j.comcom.2020.12.028 · Cited by 265
Self-citation
Research works printed but not linked: 35
- 10.1109/OJCS.2023.3300321 · DOI
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- 10.1109/TCAD.2022.3197489 · DOI
- Chen, 2023, Challenges and remedies to privacy and security in aigc: Exploring the potential of privacy computing, blockchain, and beyond, ar Xiv preprint
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- Hesselbarth, 2018, Measurement data for “large scale ro puf analysis over slice type, evaluation time and temperature on 28nm xilinx fpgas”
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Cited by
Arnaudo, A., Coppola, R., Morisio, M., Vetrò, A., Borghi, M., Raso, R., & Khan, B. (2026) · PeerJ Computer Science · doi:10.7717/peerj-cs.3928 · Cited by 2
Metadata
- Authors
- Ran, Z., Abdelgawad, M. A. A., Zhang, Z., Cheung, R. C. C., & Yan, H.
- Affiliations
- City University of Hong Kong,Centre for Intelligent Multidimensional Data Analysis,Department of Electrical Engineering,Hong Kong SAR,China
- Venue
- 2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP)
- Publisher
- IEEE
- Published
- 2024-07-24
- Pages
- 135-142
- Cited by
- 5
- References
- 1
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
