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Generative AI is becoming increasingly prevalent in creative fields, sparking urgent debates over how current copyright laws can keep pace with technological innovation.
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“Content-bootstrapped collaborative filtering for medical article recommendations”
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“An Improved Watermarking Technique for Copyright Protection Based on Tchebichef Moments”
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“FAHT: an adaptive fairness-aware decision tree classifier”
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“On fairness-aware learning for non-discriminative decision-making”
Wenbin Zhang, Xuejiao Tang and Jianwu Wang · 2019
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“Secure Deduplication for Images using Blockchain”
R. Aparna, Roopa. Kulkarni and Shilpa Chaudhari · 2020
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“Towards Transparency by Design for Artificial Intelligence”
Heike Felzmann, Eduard Fosch-Villaronga, Christoph Lutz and Aurelia Tamò-Larrieux · 2020
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“Research on the Application of Blockchain in Copyright Protection”
Tao Jiang, Aina Sui, Weiguo Lin and Pengbin Han · 2020
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“Survey on Decentralized Fingerprinting Solutions: Copyright Protection through Piracy Tracing”
David Megías, Minoru Kuribayashi and Amna Qureshi · 2020
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“When Is Software Code Copyrightable? Is Its Unauthorized Copying Excusable as a Fair Use?”
Homayoon Rafatijo and Dennis Crouch · 2020
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“Flexible and adaptive fairness-aware learning in non-stationary data streams”
Wenbin Zhang · 2020
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“Learning fairness and graph deep generation in dynamic environments”, 2020
Wenbin Zhang · 2020
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“Online decision trees with fairness”
Wenbin Zhang and Liang Zhao · 2020
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Hugging Face, 2021
John Bandy and Nicholas Vincent · 2021
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“A COMPREHENSIVE STUDY ON DIGITAL SIGNATURE”
J. Chandrashekhara, Anu V, Prabhavathi H and Ramya B · 2021
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“Does black-box machine learning shift the US fair use doctrine?”
Yangzi Li · 2021
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Hugging Face, 2021
Pierre Lison and Jörg Tiedemann · 2021
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“Research on unsupervised feature learning for Android malware detection based on Restricted Boltzmann Machines”
Zhen Liu et al · 2021
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“Research and Development of Copyright Registration and Monitoring System Based on Digital Watermarking and Fingerprint Technology”
Bowen Ning et al · 2021
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“Blockchain-Based Multimedia Content Protection: Review and Open Challenges”
Amna Qureshi and David Megíasénez · 2021
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B. Rasina and P. Chitra · 2021
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Xuejiao Tang et al · 2021
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K. Vijayalakshmi and V. Jayalakshmi · 2021
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“Autoencoder for neuroimage”
Mingli Zhang et al · 2021
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“Fair Decision-making Under Uncertainty”
Wenbin Zhang and Jeremy Weiss · 2021
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“Disentangled Dynamic Graph Deep Generation”
Wenbin Zhang, Liming Zhang, Dieter Pfoser and Liang Zhao · 2021
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“FARF: A Fair and Adaptive Random Forests Classifier”
Wenbin Zhang et al · 2021
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“A Novel Video Copyright Protection Scheme Based on Blockchain and Double Watermarking”
Jingjing Zheng et al · 2021
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Kasia. Chmielinski et al · 2022
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“Incremental Mining of Frequent Serial Episodes Considering Multiple Occurrences”
Thomas Guyet, Wenbin Zhang and Albert Bifet · 2022
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“Deduplicating Training Data Makes Language Models Better”, 2022
Katherine Lee et al · 2022
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Vijini Liyanage, Davide Buscaldi and Adeline Nazarenko · 2022
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“Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI”
Mahima Pushkarna, Andrew Zaldivar and Oddur Kjartansson · 2022
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“Digital Watermarking System for Copyright Protection and Authentication of Images Using Cryptographic Techniques”
Prasanth Sanivarapu, Kandala…. Rajesh, Khalid. Hosny and Mostafa. Fouda · 2022
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“The Model Card Authoring Toolkit: Toward Community-centered, Deliberation-driven AI Design”
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In huggingface.co , 2022
WikiArt · 2022
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“Perceptual Artifacts Localization for Inpainting”, 2022
Lingzhi Zhang et al · 2022
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“Longitudinal fairness with censorship”
Wenbin Zhang and Jeremy Weiss · 2022
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“Fairness Amidst Non-IID Graph Data: Current Achievements and Future Directions”
Wenbin Zhang et al · 2022
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“Serving deep learning models with deduplication from relational databases”
Lixi Zhou et al · 2022
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“DECORAIT - DECentralized Opt-in/out Registry for AI Training”
Kar Balan et al · 2023
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“GPT-wiki-intro (Revision 0e458f5)”
Bhat, Aaditya · 2023
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“Image neural style transfer: A review”
Qiang Cai, Mengxu Ma, Chen Wang and Haisheng Li · 2023
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Yu Cai, Drew Youngstrom and Wenbin Zhang · 2023
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Yihan Cao et al · 2023
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Sribala Chinta et al · 2023
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“How to Protect Copyright Data in Optimization of Large Language Models?”, 2023
Timothy Chu, Zhao Song and Chiwun Yang · 2023
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“DiffusionShield: A Watermark for Copyright Protection Against Generative Diffusion Models”
Yingqian Cui et al · 2023
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Ahmed. Elkhatat, Khaled Elsaid and Saeed Almeer · 2023
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“Automatic Jailbreaking of the Text-to-Image Generative AI Systems”, 2024
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Carol Hayes · 2023
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Peter Henderson et al · 2023
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