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AI-Generated Content (AIGC) is rapidly expanding, with services using advanced generative models to create realistic images and fluent text.
Image quality metrics: Psnr vs. ssim
Horé, A. and Ziou, D · 2010
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Deep Learning Face Attributes in the Wild
Liu, Z., Luo, P., Wang, X., and Tang, X · 2015
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LSUN: construction of a large-scale image dataset using deep learning with humans in the loop
Yu, F., Zhang, Y., Song, S., Seff, A., and Xiao, J · 2015
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Deep Residual Learning for Image Recognition
He, K., Zhang, X., Ren, S., and Sun, J · 2016
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Arjovsky, M., Chintala, S., and Bottou, L · 2017
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
Heusel, M., Ramsauer, H., Unterthiner, T., Nessler, B., and Hochreiter, S · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
Zhu, J., Park, T., Isola, P., and Efros, A. A · 2017
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Hidden: Hiding data with deep networks
Zhu, J., Kaplan, R., Johnson, J., and Fei-Fei, L · 2017
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Large-scale visible watermark detection and removal with deep convolutional networks
Cheng, D., Li, X., Li, W., Lu, C., Li, F., Zhao, H., and Zheng, W · 2018
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Deep image prior
Ulyanov, D., Vedaldi, A., and Lempitsky, V. S · 2018
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Wasserstein divergence for gans
Wu, J., Huang, Z., Thoma, J., Acharya, D., and Gool, L. V · 2018
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The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Zhang, R., Isola, P., Efros, A. A., Shechtman, E., and Wang, O · 2018
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A style-based generator architecture for generative adversarial networks
Karras, T., Laine, S., and Aila, T · 2019
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Robust invisible video watermarking with attention
Zhang, K. A., Xu, L., Cuesta-Infante, A., and Veeramachaneni, K · 2019
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https://www.pdpc.gov.sg/help-and-resources/2020/01/model-ai-governance-framework
Singapore’s approach to ai governance · 2020
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Denoising Diffusion Probabilistic Models
Ho, J., Jain, A., and Abbeel, P · 2020
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Stegastamp: Invisible hyperlinks in physical photographs
Tancik, M., Mildenhall, B., and Ng, R · 2020
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The mass, fake news, and cognition security
Guo, B., Ding, Y., Sun, Y., Ma, S., Li, K., and Yu, Z · 2021
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DiffWave: A Versatile Diffusion Model for Audio Synthesis
Kong, Z., Ping, W., Huang, J., Zhao, K., and Catanzaro, B · 2021
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Visible watermark removal via self-calibrated localization and background refinement
Liang, J., Niu, L., Guo, F., Long, T., and Zhang, L · 2021
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Wdnet: Watermark-decomposition network for visible watermark removal
Liu, Y., Zhu, Z., and Bai, X · 2021
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RD-IWAN: residual dense based imperceptible watermark attack network
Wang, C., Hao, Q., Xu, S., Ma, B., Xia, Z., Li, Q., Li, J., and Shi, Y · 2022
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https://www.reuters.com/technology/governments-efforts-regulate-ai-tools-2023-04-12/
Governments race to regulate ai tools · 2023
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Identifying and mitigating the security risks of generative ai
Barrett, C., Boyd, B., Burzstein, E., Carlini, N., Chen, B., Choi, J., Chowdhury, A. R., Christodorescu, M., Datta, A., Feizi, S., Fisher, K., Hashimoto, T., Hendrycks, D., Jha, S., Kang, D., Kerschbaum, F., Mitchell, E., Mitchell, J., Ramzan, Z., Shams, K., Song, D., Taly, A., and Yang, D · 2023
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Charan, P. V. S., Chunduri, H., Anand, P. M., and Shukla, S. K · 2023
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Diffusionshield: A watermark for copyright protection against generative diffusion models
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WAN: watermarking attack network
Nam, S., Yu, I., Mun, S., Kim, D., and Ahn, W · 2021
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Learning transferable visual models from natural language supervision
Radford, A., Kim, J. W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I · 2021
Cited alongside, same era.
Watermark faker: Towards forgery of digital image watermarking
Wang, R., Lin, C., Zhao, Q., and Zhu, F · 2021
Cited alongside, same era.
Supervised GAN Watermarking for Intellectual Property Protection
Fei, J., Xia, Z., Tondi, B., and Barni, M · 2022
Cited alongside, same era.
Watermarking images in self-supervised latent spaces
Fernandez, P., Sablayrolles, A., Furon, T., Jégou, H., and Douze, M · 2022
Cited alongside, same era.
Video Diffusion Models
Ho, J., Salimans, T., Gritsenko, A. A., Chan, W., Norouzi, M., and Fleet, D. J · 2022
Cited alongside, same era.
Cui, Y., Ren, J., Xu, H., He, P., Liu, H., Sun, L., and Tang, J · 2023
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The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Fernandez, P., Couairon, G., J’egou, H., Douze, M., and Furon, T · 2023
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Large Language Models Can Be Used To Effectively Scale Spear Phishing Campaigns
Hazell, J · 2023
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On the Reliability of Watermarks for Large Language Models
Kirchenbauer, J., Geiping, J., Wen, Y., Shu, M., Saifullah, K., Kong, K., Fernando, K., Saha, A., Goldblum, M., and Goldstein, T · 2023
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Anti-DreamBooth: Protecting users from personalized text-to-image synthesis
Le, T. V., Phung, H., Nguyen, T. H., Dao, Q., Tran, N., and Tran, A · 2023
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Diffwa: Diffusion models for watermark attack
Li, X · 2023
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Visual Adversarial Examples Jailbreak Large Language Models
Qi, X., Huang, K., Panda, A., Wang, M., and Mittal, P · 2023
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Raising the Cost of Malicious AI-Powered Image Editing
Salman, H., Khaddaj, A., Leclerc, G., Ilyas, A., and Madry, A · 2023
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LLaMA: Open and Efficient Foundation Language Models
Touvron, H., Lavril, T., Izacard, G., Martinet, X., Lachaux, M.-A., Lacroix, T., Rozière, B., Goyal, N., Hambro, E., Azhar, F., Rodriguez, A., Joulin, A., Grave, E., and Lample, G · 2023
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Jailbroken: How Does LLM Safety Training Fail?
Wei, A., Haghtalab, N., and Steinhardt, J · 2023
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Tree-ring watermarks: Fingerprints for diffusion images that are invisible and robust
Wen, Y., Kirchenbauer, J., Geiping, J., and Goldstein, T · 2023
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