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Latent diffusion models achieve state-of-the-art performance on a variety of generative tasks, such as image synthesis and image editing.
Multiscale structural similarity for image quality assessment
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Improved techniques for training gans
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Towards deep learning models resistant to adversarial attacks
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Wasserstein generative adversarial networks
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Gans trained by a two time-scale update rule converge to a local nash equilibrium
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Boosting adversarial attacks with momentum
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Nesterov accelerated gradient and scale invariance for adversarial attacks
Lin, J., C. Song, K. He, et al · 2019
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Feature distillation: Dnn-oriented jpeg compression against adversarial examples
Liu, Z., Q. Liu, T. Liu, et al · 2019
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Certified adversarial robustness with additive noise
Li, B., C. Chen, W. Wang, et al · 2019
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Denoising diffusion probabilistic models
Ho, J., A. Jain, P. Abbeel · 2020
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Generative adversarial networks
Goodfellow, I., J. Pouget-Abadie, M. Mirza, et al · 2020
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High-resolution image synthesis with latent diffusion models
Rombach, R., A. Blattmann, D. Lorenz, et al · 2022
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Hierarchical text-conditional image generation with clip latents
Ramesh, A., P. Dhariwal, A. Nichol, et al · 2022
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Improving adversarial transferability via neuron attribution-based attacks
Zhang, J., W. Wu, J.-t. Huang, et al · 2022
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Training language models to follow instructions with human feedback
Ouyang, L., J. Wu, X. Jiang, et al · 2022
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Instructpix2pix: Learning to follow image editing instructions
Brooks, T., A. Holynski, A. A. Efros · 2022
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Boosting the transferability of adversarial samples via attention
Wu, W., Y. Su, X. Chen, et al · 2020
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Language models are few-shot learners
Brown, T., B. Mann, N. Ryder, et al · 2020
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Learning transferable visual models from natural language supervision
Radford, A., J. W. Kim, C. Hallacy, et al · 2021
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Photorealistic text-to-image diffusion models with deep language understanding
Saharia, C., W. Chan, S. Saxena, et al · 2022
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Salman, H., A. Khaddaj, G. Leclerc, et al · 2023
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A pilot study of query-free adversarial attack against stable diffusion
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Improving the transferability of adversarial samples by path-augmented method
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Transferable adversarial attacks on vision transformers with token gradient regularization
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