MMA-Diffusion: MultiModal Attack on Diffusion Models

Explaining and Harnessing Adversarial Examples

Ian J. Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015

Earlier work this paper cites.

Towards Evaluating the Robustness of Neural Networks

Nicholas Carlini and David A. Wagner · 2017

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Towards Deep Learning Models Resistant to Adversarial Attacks

Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018

Earlier work this paper cites.

BAE: BERT-based Adversarial Examples for Text Classification

Siddhant Garg and Goutham Ramakrishnan · 2020

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Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

Di Jin, Zhijing Jin, Joey Tianyi Zhou, and Peter Szolovits · 2020

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BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, and Xipeng Qiu · 2020

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AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh · 2020

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Zero-Shot Text-to-Image Generation

Aditya Ramesh, Mikhail Pavlov, Gabriel Goh, Scott Gray, Chelsea Voss, Alec Radford, Mark Chen, and Ilya Sutskever · 2021

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Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks

Xiaosen Wang, Yichen Yang, Yihe Deng, and Kun He · 2021

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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Alexander Quinn Nichol, Prafulla Dhariwal, Aditya Ramesh, Pranav Shyam, Pamela Mishkin, Bob McGrew, Ilya Sutskever, and Mark Chen · 2022

Earlier work this paper cites.

Hierarchical Text-Conditional Image Generation with CLIP Latents

Original

Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022

Earlier work this paper cites.

High-Resolution Image Synthesis with Latent Diffusion Models

Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022

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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily L. Denton, Seyed Kamyar Seyed Ghasemipour, Raphael Gontijo Lopes, Burcu Karagol Ayan, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi · 2022

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Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

Patrick Schramowski, Christopher Tauchmann, and Kristian Kersting · 2022

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Laion-coco

Christoph Schuhmann, Andreas Köpf, Theo Coombes, Richard Vencu, Benjamin Trom, and Romain Beaumont · 2022

Cited alongside, same era.

https://midjourney.com/

Midjourney, access date: 26th Sept. 2023 · 2023

Cited alongside, same era.

https://leonardo.ai/

Ablating Concepts in Text-to-Image Diffusion Models

Original

Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, and Jun-Yan Zhu · 2023

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Holistic Evaluation of Text-To-Image Models

Original

Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park, Agrim Gupta, Yunzhi Zhang, Deepak Narayanan, Hannah Benita Teufel, Marco Bellagente, Minguk Kang, Taesung Park, Jure Leskovec, Jun-Yan Zhu, Li Fei-Fei, Jiajun Wu, Stefano Ermon, and Percy Liang · 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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Black box adversarial prompting for foundation models

Natalie Maus, Patrick Chao, Eric Wong, and Jacob R Gardner · 2023

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Sdxl: Improving latent diffusion models for high-resolution image synthesis