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In the era where AI-generated content (AIGC) models can produce stunning and lifelike images, the lingering shadow of unauthorized reproductions and malicious tampering poses imminent threats to copyright integrity and information security.
High capacity and secure digital steganography to palette-based images
Michiharu Niimi, Hideki Noda, Eiji Kawaguchi, and Richard O Eason · 2002
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Detecting image splicing using geometry invariants and camera characteristics consistency
Yu-Feng Hsu and Shih-Fu Chang · 2006
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Multi bit plane image steganography
Bui Cong Nguyen, Sang Moon Yoon, and Heung-Kyu Lee · 2006
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Reversible image hiding scheme using predictive coding and histogram shifting
Piyu Tsai, Yu-Chen Hu, and Hsiu-Lien Yeh · 2009
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Using high-dimensional image models to perform highly undetectable steganography
Tomáš Pevnỳ, Tomáš Filler, and Patrick Bas · 2010
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Image steganography method based on pvd and modulus function
Feng Pan, Jun Li, and Xiaoyuan Yang · 2011
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Image steganography and steganalysis: A survey
Yambem Jina Chanu, Kh Manglem Singh, and Themrichon Tuithung · 2012
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Casia image tampering detection evaluation database
Jing Dong, Wei Wang, and Tieniu Tan · 2013
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Detecting forged (altered) images
Alexey Kuznetsov, Yakov Severyukhin, Oleg Afonin, and Yuri Gubanov · 2013
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Stegexpose-a tool for detecting lsb steganography
Benedikt Boehm · 2014
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Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
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A new cost function for spatial image steganography
Bin Li, Ming Wang, Jiwu Huang, and Xiaolong Li · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Coverage—a novel database for copy-move forgery detection
Bihan Wen, Ye Zhu, Ramanathan Subramanian, Tian-Tsong Ng, Xuanjing Shen, and Stefan Winkler · 2016
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Hiding images in plain sight: Deep steganography
Shumeet Baluja · 2017
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Ssgan: secure steganography based on generative adversarial networks
Haichao Shi, Jing Dong, Wei Wang, Yinlong Qian, and Xiaoyu Zhang · 2017
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Squeeze-and-excitation networks
Jie Hu, Li Shen, and Gang Sun · 2018
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Fast and effective image copy-move forgery detection via hierarchical feature point matching
Yuanman Li and Jiantao Zhou · 2018
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Learning a convolutional neural network for image compact-resolution
Yue Li, Dong Liu, Houqiang Li, Li Li, Zhu Li, and Feng Wu · 2018
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Image splicing localization using a multi-task fully convolutional network (mfcn)
Ronald Salloum, Yuzhuo Ren, and C-C Jay Kuo · 2018
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Image2stylegan: How to embed images into the stylegan latent space?
Rameen Abdal, Yipeng Qin, and Peter Wonka · 2019
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Mfc datasets: Large-scale benchmark datasets for media forensic challenge evaluation
Haiying Guan, Mark Kozak, Eric Robertson, Yooyoung Lee, Amy N Yates, Andrew Delgado, Daniel Zhou, Timothee Kheyrkhah, Jeff Smith, and Jonathan Fiscus · 2019
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Comprehensive survey of image steganography: Techniques, evaluations, and trends in future research
Inas Jawad Kadhim, Prashan Premaratne, Peter James Vial, and Brendan Halloran · 2019
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Localization of deep inpainting using high-pass fully convolutional network
Haodong Li and Jiwu Huang · 2019
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A novel two-stage separable deep learning framework for practical blind watermarking
Yang Liu, Mengxi Guo, Jian Zhang, Yuesheng Zhu, and Xiaodong Xie · 2019
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Cnn-based adversarial embedding for image steganography
Weixuan Tang, Bin Li, Shunquan Tan, Mauro Barni, and Jiwu Huang · 2019
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Mantra-net: Manipulation tracing network for detection and localization of image forgeries with anomalous features
Yue Wu, Wael AbdAlmageed, and Premkumar Natarajan · 2019
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An embedding cost learning framework using gan
Jianhua Yang, Danyang Ruan, Jiwu Huang, Xiangui Kang, and Yun-Qing Shi · 2019
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Steganogan: High capacity image steganography with gans
Kevin Alex Zhang, Alfredo Cuesta-Infante, Lei Xu, and Kalyan Veeramachaneni · 2019
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Redmark: Framework for residual diffusion watermarking based on deep networks
Mahdi Ahmadi, Alireza Norouzi, Nader Karimi, Shadrokh Samavi, and Ali Emami · 2020
Cited alongside, same era.
Span: Spatial pyramid attention network for image manipulation localization
Xuefeng Hu, Zhihan Zhang, Zhenye Jiang, Syomantak Chaudhuri, Zhenheng Yang, and Ram Nevatia · 2020
Cited alongside, same era.
Doa-gan: Dual-order attentive generative adversarial network for image copy-move forgery detection and localization
Ashraful Islam, Chengjiang Long, Arslan Basharat, and Anthony Hoogs · 2020
Cited alongside, same era.
Rwn: Robust watermarking network for image cropping localization
Qichao Ying, Xiaoxiao Hu, Xiangyu Zhang, Zhenxing Qian, Sheng Li, and Xinpeng Zhang · 2022
Later among the works it cites.
Restormer: Efficient transformer for high-resolution image restoration
Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, and Ming-Hsuan Yang · 2022
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Malp: Manipulation localization using a proactive scheme
Vishal Asnani, Xi Yin, Tal Hassner, and Xiaoming Liu · 2023
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Diffusionshield: A watermark for copyright protection against generative diffusion models
Yingqian Cui, Jie Ren, Han Xu, Pengfei He, Hui Liu, Lichao Sun, and Jiliang Tang · 2023
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Flow-based robust watermarking with invertible noise layer for black-box distortions
Han Fang, Yupeng Qiu, Kejiang Chen, Jiyi Zhang, Weiming Zhang, and Ee-Chien Chang · 2023
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Faceswap
Huikai Wu, Shaocheng Xiang, Gabriben, and Niczem · 2020
Cited alongside, same era.
Invertible image rescaling
Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, and Tie-Yan Liu · 2020
Cited alongside, same era.
Image manipulation detection by multi-view multi-scale supervision
Xinru Chen, Chengbo Dong, Jiaqi Ji, Juan Cao, and Xirong Li · 2021
Cited alongside, same era.
Mbrs: Enhancing robustness of dnn-based watermarking by mini-batch of real and simulated jpeg compression
Zhaoyang Jia, Han Fang, and Weiming Zhang · 2021
Cited alongside, same era.
Hinet: Deep image hiding by invertible network
Junpeng Jing, Xin Deng, Mai Xu, Jianyi Wang, and Zhenyu Guan · 2021
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Cat-net: Compression artifact tracing network for detection and localization of image splicing
Myung-Joon Kwon, In-Jae Yu, Seung-Hun Nam, and Heung-Kyu Lee · 2021
Cited alongside, same era.
Large-capacity image steganography based on invertible neural networks
Shao-Ping Lu, Rong Wang, Tao Zhong, and Paul L Rosin · 2021
Cited alongside, same era.
Weitao Feng, Jiyan He, Jie Zhang, Tianwei Zhang, Wenbo Zhou, Weiming Zhang, and Nenghai Yu · 2023
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The stable signature: Rooting watermarks in latent diffusion models
Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, and Teddy Furon · 2023
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Artists lose first copyright battle in the fight against ai-generated images
Anirban Ghoshal · 2023
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Improving image generation with better captions
Gabriel Goh, James Betker, Li Jing, Aditya Ramesh, et al · 2023
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Trufor: Leveraging all-round clues for trustworthy image forgery detection and localization
Fabrizio Guillaro, Davide Cozzolino, Avneesh Sud, Nicholas Dufour, and Luisa Verdoliva · 2023
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Hierarchical fine-grained image forgery detection and localization
Xiao Guo, Xiaohong Liu, Zhiyuan Ren, Steven Grosz, Iacopo Masi, and Xiaoming Liu · 2023
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Instruct-nerf2nerf: Editing 3d scenes with instructions
Ayaan Haque, Matthew Tancik, Alexei A Efros, Aleksander Holynski, and Angjoo Kanazawa · 2023
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Draw: Defending camera-shooted raw against image manipulation
Xiaoxiao Hu, Qichao Ying, Zhenxing Qian, Sheng Li, and Xinpeng Zhang · 2023
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Evading watermark based detection of ai-generated content
Zhengyuan Jiang, Jinghuai Zhang, and Neil Zhenqiang Gong · 2023
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Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-Yen Lo, et al · 2023
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Adversarial example does good: Preventing painting imitation from diffusion models via adversarial examples
Chumeng Liang, Xiaoyu Wu, Yang Hua, Jiaru Zhang, Yiming Xue, Tao Song, Zhengui Xue, Ruhui Ma, and Haibing Guan · 2023
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Large-capacity and flexible video steganography via invertible neural network
Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, and Jian Zhang · 2023
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Sdxl: improving latent diffusion models for high-resolution image synthesis
Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, and Robin Rombach · 2023
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The white house and big tech companies release commitments on managing ai
Deepa Shivaram · 2023
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Safl-net: Semantic-agnostic feature learning network with auxiliary plugins for image manipulation detection
Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, and Juan Cao · 2023
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Anti-dreambooth: Protecting users from personalized text-to-image synthesis
Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N Tran, and Anh Tran · 2023
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Security and privacy on generative data in aigc: A survey
Tao Wang, Yushu Zhang, Shuren Qi, Ruoyu Zhao, Zhihua Xia, and Jian Weng · 2023
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Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust
Yuxin Wen, John Kirchenbauer, Jonas Geiping, and Tom Goldstein · 2023
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Difflle: Diffusion-guided domain calibration for unsupervised low-light image enhancement
Shuzhou Yang, Xuanyu Zhang, Yinhuai Wang, Jiwen Yu, Yuhan Wang, and Jian Zhang · 2023
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Duaw: Data-free universal adversarial watermark against stable diffusion customization
Xiaoyu Ye, Hao Huang, Jiaqi An, and Yongtao Wang · 2023
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Learning to immunize images for tamper localization and self-recovery
Qichao Ying, Hang Zhou, Zhenxing Qian, Sheng Li, and Xinpeng Zhang · 2023
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A recipe for watermarking diffusion models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, and Min Lin · 2023
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