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In recent years, text-to-image (T2I) diffusion models have gained significant attention for their ability to generate high quality images reflecting text prompts.
An introduction to roc analysis
Tom Fawcett · 2006
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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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From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions
Peter Young, Alice Lai, Micah Hodosh, and Julia Hockenmaier · 2014
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Generating images from captions with attention
Elman Mansimov, Emilio Parisotto, Jimmy Lei Ba, and Ruslan Salakhutdinov · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Generative adversarial text to image synthesis
Scott Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, and Honglak Lee · 2016
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Deepxplore: Automated whitebox testing of deep learning systems
Kexin Pei, Yinzhi Cao, Junfeng Yang, and Suman Jana · 2017
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Fine-pruning: Defending against backdooring attacks on deep neural networks
Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2018
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Attngan: Fine-grained text to image generation with attentional generative adversarial networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, and Xiaodong He · 2018
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Strip: A defence against trojan attacks on deep neural networks
Yansong Gao, Change Xu, Derui Wang, Shiping Chen, Damith C Ranasinghe, and Surya Nepal · 2019
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Badnets: Evaluating backdooring attacks on deep neural networks
Tianyu Gu, Kang Liu, Brendan Dolan-Gavitt, and Siddharth Garg · 2019
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Neural cleanse: Identifying and mitigating backdoor attacks in neural networks
Bolun Wang, Yuanshun Yao, Shawn Shan, Huiying Li, Bimal Viswanath, Haitao Zheng, and Ben Y Zhao · 2019
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Sentinet: Detecting localized universal attacks against deep learning systems
Edward Chou, Florian Tramer, and Giancarlo Pellegrino · 2020
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Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
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On the effectiveness of mitigating data poisoning attacks with gradient shaping
Sanghyun Hong, Varun Chandrasekaran, Yiğitcan Kaya, Tudor Dumitraş, and Nicolas Papernot · 2020
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Reformulating unsupervised style transfer as paraphrase generation
Kalpesh Krishna, John Wieting, and Mohit Iyyer · 2020
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Onion: A simple and effective defense against textual backdoor attacks
Fanchao Qi, Yangyi Chen, Mukai Li, Yuan Yao, Zhiyuan Liu, and Maosong Sun · 2020
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Denoising diffusion implicit models
Jiaming Song, Chenlin Meng, and Stefano Ermon · 2020
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{ \{ T-Miner
Ahmadreza Azizi, Ibrahim Asadullah Tahmid, Asim Waheed, Neal Mangaokar, Jiameng Pu, Mobin Javed, Chandan K Reddy, and Bimal Viswanath · 2021
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Mitigating backdoor attacks in lstm-based text classification systems by backdoor keyword identification
Chuanshuai Chen and Jiazhu Dai · 2021
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Badnl: Backdoor attacks against nlp models with semantic-preserving improvements
Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, and Yang Zhang · 2021
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Black-box detection of backdoor attacks with limited information and data
Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, and Jun Zhu · 2021
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Design and evaluation of a multi-domain trojan detection method on deep neural networks
Yansong Gao, Yeonjae Kim, Bao Gia Doan, Zhi Zhang, Gongxuan Zhang, Surya Nepal, Damith C Ranasinghe, and Hyoungshick Kim · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
Cited alongside, same era.
Mind the style of text! adversarial and backdoor attacks based on text style transfer
Fanchao Qi, Yangyi Chen, Xurui Zhang, Mukai Li, Zhiyuan Liu, and Maosong Sun · 2021
Cited alongside, same era.
Zero-shot text-to-image generation
Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021
Cited alongside, same era.
Adversarial neuron pruning purifies backdoored deep models
Dongxian Wu and Yisen Wang · 2021
Cited alongside, same era.
Mitigating data poisoning in text classification with differential privacy
Chang Xu, Jun Wang, Francisco Guzmán, Benjamin Rubinstein, and Trevor Cohn · 2021
Cited alongside, same era.
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 · 2023
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Backdooring textual inversion for concept censorship
Yutong Wu, Jie Zhang, Florian Kerschbaum, and Tianwei Zhang · 2023
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Umd: Unsupervised model detection for x2x backdoor attacks
Zhen Xiang, Zidi Xiong, and Bo Li · 2023
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Revisiting neuron coverage for dnn testing: A layer-wise and distribution-aware criterion
Yuanyuan Yuan, Qi Pang, and Shuai Wang · 2023
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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
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Rap: Robustness-aware perturbations for defending against backdoor attacks on nlp models
Wenkai Yang, Yankai Lin, Peng Li, Jie Zhou, and Xu Sun · 2021
Cited alongside, same era.
Baddet: Backdoor attacks on object detection
Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, and Jun Zhou · 2022
Cited alongside, same era.
Kallima: A clean-label framework for textual backdoor attacks
Xiaoyi Chen, Yinpeng Dong, Zeyu Sun, Shengfang Zhai, Qingni Shen, and Zhonghai Wu · 2022
Cited alongside, same era.
Badencoder: Backdoor attacks to pre-trained encoders in self-supervised learning
Jinyuan Jia, Yupei Liu, and Neil Zhenqiang Gong · 2022
Cited alongside, same era.
Elucidating the design space of diffusion-based generative models
Tero Karras, Miika Aittala, Timo Aila, and Samuli Laine · 2022
Cited alongside, same era.
Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
Cited alongside, same era.
The devil is in the gan: Backdoor attacks and defenses in deep generative models
Ambrish Rawat, Killian Levacher, and Mathieu Sinn · 2022
Cited alongside, same era.
Prospect: Prompt spectrum for attribute-aware personalization of diffusion models
Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, and Changsheng Xu · 2023
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Villandiffusion: A unified backdoor attack framework for diffusion models
Sheng-Yen Chou, Pin-Yu Chen, and Tsung-Yi Ho · 2024
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Stable-Diffusion-v1-4
CompVis · 2024
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Ufid: A unified framework for input-level backdoor detection on diffusion models
Zihan Guan, Mengxuan Hu, Sheng Li, and Anil Vullikanti · 2024
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Personalization as a shortcut for few-shot backdoor attack against text-to-image diffusion models
Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, and Yang Liu · 2024
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The python code of fine-tuning stable-diffusion , 2024
Huggingface · 2024
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Neuron activation coverage: Rethinking out-of-distribution detection and generalization
Yibing Liu, XING Chris, Haoliang Li, Lei Ma, and Shiqi Wang · 2024
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Stable-Diffusion-v1-5
Runwayml · 2024
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Eviledit: Backdooring text-to-image diffusion models in one second
Hao Wang, Shangwei Guo, Jialing He, Kangjie Chen, Shudong Zhang, Tianwei Zhang, and Tao Xiang · 2024
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Uncovering safety risks in open-source llms through concept activation vector
Zhihao Xu, Ruixuan Huang, Xiting Wang, Fangzhao Wu, Jing Yao, and Xing Xie · 2024
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Beear: Embedding-based adversarial removal of safety backdoors in instruction-tuned language models
Yi Zeng, Weiyu Sun, Tran Ngoc Huynh, Dawn Song, Bo Li, and Ruoxi Jia · 2024
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Text-to-image synthesis: A decade survey
Nonghai Zhang and Hao Tang · 2024
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Shide Zhou, Tianlin Li, Kailong Wang, Yihao Huang, Ling Shi, Yang Liu, and Haoyu Wang · 2024
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Towards the worst-case robustness of large language models
Huanran Chen, Yinpeng Dong, Zeming Wei, Hang Su, and Jun Zhu · 2025
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Civitai , 2025
Civitai · 2025
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T2ishield: Defending against backdoors on text-to-image diffusion models
Zhongqi Wang, Jie Zhang, Shiguang Shan, and Xilin Chen · 2025
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Piccolo: Exposing complex backdoors in nlp transformer models
Yingqi Liu, Guangyu Shen, Guanhong Tao, Shengwei An, Shiqing Ma, and Xiangyu Zhang · 2042
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