Fetching the paper…
Reading the bibliography…
With the help of conditioning mechanisms, the state-of-the-art diffusion models have achieved tremendous success in guided image generation, particularly in text-to-image synthesis.
Microsoft coco: Common objects in context. In Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V 13 . Springer, 740–755
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014 · 2014
Earlier work this paper cites.
Deep unsupervised learning using nonequilibrium thermodynamics. In International Conference on Machine Learning . 2256–2265
Jascha Sohl-Dickstein, Eric Weiss, Niru Maheswaranathan, and Surya Ganguli. 2015 · 2015
Earlier work this paper cites.
Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition . 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
Gans trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter. 2017 · 2017
Earlier work this paper cites.
Turning your weakness into a strength: Watermarking deep neural networks by backdooring. In 27th { \{ USENIX } \} Security Symposium ( { \{ USENIX } \} Security 18) . 1615–1631
Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, and Joseph Keshet. 2018 · 2018
Earlier work this paper cites.
Protecting intellectual property of deep neural networks with watermarking. In Proceedings of the 2018 on Asia Conference on Computer and Communications Security . 159–172
Jialong Zhang, Zhongshu Gu, Jiyong Jang, Hui Wu, Marc Ph Stoecklin, Heqing Huang, and Ian Molloy. 2018 · 2018
Earlier work this paper cites.
A backdoor attack against lstm-based text classification systems
Jiazhu Dai, Chuanshuai Chen, and Yufeng Li. 2019 · 2019
Earlier work this paper cites.
Badnets: Evaluating backdooring attacks on deep neural networks
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg. 2019 · 2019
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel. 2020 · 2020
Earlier work this paper cites.
Weight Poisoning Attacks on Pretrained Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics . 2793–2806
Keita Kurita, Paul Michel, and Graham Neubig. 2020 · 2020
Earlier work this paper cites.
Baaan: Backdoor attacks against autoencoder and gan-based machine learning models
Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, and Yang Zhang. 2020 · 2020
Earlier work this paper cites.
Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon. 2020 · 2020
Earlier work this paper cites.
Badnl: Backdoor attacks against nlp models with semantic-preserving improvements. In Annual Computer Security Applications Conference . 554–569
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, and Yang Zhang. 2021 · 2021
Earlier work this paper cites.
Diffusion models beat gans on image synthesis
Prafulla Dhariwal and Alexander Nichol. 2021 · 2021
Earlier work this paper cites.
Clipscore: A reference-free evaluation metric for image captioning
Jack Hessel, Ari Holtzman, Maxwell Forbes, Ronan Le Bras, and Yejin Choi. 2021 · 2021
Earlier work this paper cites.
Hidden backdoors in human-centric language models. In Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security . 3123–3140
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, and Jialiang Lu. 2021 · 2021
Cited alongside, same era.
Glide: Towards photorealistic image generation and editing with text-guided diffusion models
Alex Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen. 2021 · 2021
Cited alongside, same era.
Improved denoising diffusion probabilistic models. In International Conference on Machine Learning . PMLR, 8162–8171
Alexander Quinn Nichol and Prafulla Dhariwal. 2021 · 2021
Cited alongside, same era.
Protecting intellectual property of generative adversarial networks from ambiguity attacks. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 3630–3639
Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, and Qiang Yang. 2021 · 2021
Cited alongside, same era.
The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models. In Computer Security–ESORICS 2022: 27th European Symposium on Research in Computer Security, Copenhagen, Denmark, September 26–30, 2022, Proceedings, Part III . Springer, 776–783
Ambrish Rawat, Killian Levacher, and Mathieu Sinn. 2022 · 2022
Later among the works it cites.
High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 10684–10695
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer. 2022 · 2022
Later among the works it cites.
Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation
Nataniel Ruiz, Yuanzhen Li, Varun Jampani, Yael Pritch, Michael Rubinstein, and Kfir Aberman. 2022 · 2022
Later among the works it cites.
Photorealistic text-to-image diffusion models with deep language understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L Denton, Kamyar Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, et al · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
ONION: A Simple and Effective Defense Against Textual Backdoor Attacks. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . 9558–9566
Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, and Maosong Sun. 2021 · 2021
Cited alongside, same era.
Learning transferable visual models from natural language supervision. In International conference on machine learning . PMLR, 8748–8763
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
Cited alongside, same era.
Backdoor attacks against deep learning systems in the physical world. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition . 6206–6215
Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, and Ben Y Zhao. 2021 · 2021
Cited alongside, same era.
All are Worth Words: a ViT Backbone for Score-based Diffusion Models
Fan Bao, Chongxuan Li, Yue Cao, and Jun Zhu. 2022 · 2022
Cited alongside, same era.
Baddet: Backdoor attacks on object detection. In Computer Vision–ECCV 2022 Workshops: Tel Aviv, Israel, October 23–27, 2022, Proceedings, Part I . Springer, 396–412
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, and Jun Zhou. 2023 · 2022
Cited alongside, same era.
Re-imagen: Retrieval-augmented text-to-image generator
Wenhu Chen, Hexiang Hu, Chitwan Saharia, and William W Cohen. 2022b · 2022
Cited alongside, same era.
Kallima: A Clean-Label Framework for Textual Backdoor Attacks. In Computer Security–ESORICS 2022: 27th European Symposium on Research in Computer Security, Copenhagen, Denmark, September 26–30, 2022, Proceedings, Part I . Springer, 447–466
Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, and Zhonghai Wu. 2022a · 2022
Cited alongside, same era.
How to Backdoor Diffusion Models?
Sheng-Yen Chou, Pin-Yu Chen, and Tsung-Yi Ho. 2022 · 2022
Cited alongside, same era.
Laion-5b: An open large-scale dataset for training next generation image-text models
Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman, Mehdi Cherti, Theo Coombes, Aarush Katta, Clayton Mullis, Mitchell Wortsman, et al · 2022
Later among the works it cites.
Rickrolling the Artist: Injecting Invisible Backdoors into Text-Guided Image Generation Models
Lukas Struppek, Dominik Hintersdorf, and Kristian Kersting. 2022 · 2022
Later among the works it cites.
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, and Ferhan Ture. 2022 · 2022
Later among the works it cites.
Diffusion models: A comprehensive survey of methods and applications
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Bin Cui, and Ming-Hsuan Yang. 2022 · 2022
Later among the works it cites.
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets
Weixin Chen, Dawn Song, and Bo Li. 2023 · 2023
Closest in time.
DeepFloyd IF
DeepFloyd Lab. 2023 · 2023
Closest in time.
More control for free! image synthesis with semantic diffusion guidance. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision . 289–299
Xihui Liu, Dong Huk Park, Samaneh Azadi, Gong Zhang, Arman Chopikyan, Yuxiao Hu, Humphrey Shi, Anna Rohrbach, and Trevor Darrell. 2023 · 2023
Closest in time.
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models
Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris Metaxas, and Shiqing Ma. 2023 · 2023
Closest in time.
NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning
Shengfang Zhai, Qingni Shen, Xiaoyi Chen, Weilong Wang, Cong Li, Yuejian Fang, and Zhonghai Wu. 2023 · 2023
Closest in time.
A recipe for watermarking diffusion models
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Ngai-Man Cheung, and Min Lin. 2023 · 2023
Closest in time.
Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning. In 2022 IEEE Symposium on Security and Privacy (SP) . IEEE, 2043–2059
Jinyuan Jia, Yupei Liu, and Neil Zhenqiang Gong. 2022 · 2059
Closest in time.