2024-05-07-robust-foundation-model (#60)

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Co-authored-by: 徐曦烈 <[email protected]>

assets/bibliography/2024-05-07-robust-foundation-model.bib

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+@article{bommasani2021opportunities,
+  title={On the opportunities and risks of foundation models},
+  author={Bommasani, Rishi and Hudson, Drew A and Adeli, Ehsan and Altman, Russ and Arora, Simran and von Arx, Sydney and Bernstein, Michael S and Bohg, Jeannette and Bosselut, Antoine and Brunskill, Emma and others},
+  journal={arXiv preprint arXiv:2108.07258},
+  year={2021}
+}
+
+@article{GPT-3,
+  title={Language models are few-shot learners},
+  author={Brown, Tom and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared D and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and others},
+  journal={Advances in neural information processing systems},
+  volume={33},
+  pages={1877--1901},
+  year={2020}
+}
+
+@article{ViT,
+  title={An image is worth 16x16 words: Transformers for image recognition at scale},
+  author={Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and others},
+  journal={arXiv preprint arXiv:2010.11929},
+  year={2020}
+}
+
+@article{ViT-object-detection,
+  title={Toward transformer-based object detection},
+  author={Beal, Josh and Kim, Eric and Tzeng, Eric and Park, Dong Huk and Zhai, Andrew and Kislyuk, Dmitry},
+  journal={arXiv preprint arXiv:2012.09958},
+  year={2020}
+}
+
+@article{ViT-medical-analysis,
+  title={Transformers in medical image analysis},
+  author={He, Kelei and Gan, Chen and Li, Zhuoyuan and Rekik, Islem and Yin, Zihao and Ji, Wen and Gao, Yang and Wang, Qian and Zhang, Junfeng and Shen, Dinggang},
+  journal={Intelligent Medicine},
+  volume={3},
+  number={1},
+  pages={59--78},
+  year={2023},
+  publisher={Elsevier}
+}
+
+@inproceedings{BLIP,
+  title={Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation},
+  author={Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven},
+  booktitle={International Conference on Machine Learning},
+  pages={12888--12900},
+  year={2022},
+  organization={PMLR}
+}
+
+@article{VQA,
+  title={Visual question answering: A survey of methods and datasets},
+  author={Wu, Qi and Teney, Damien and Wang, Peng and Shen, Chunhua and Dick, Anthony and Van Den Hengel, Anton},
+  journal={Computer Vision and Image Understanding},
+  volume={163},
+  pages={21--40},
+  year={2017},
+  publisher={Elsevier}
+}
+
+@inproceedings{CLAP,
+  title={Clap learning audio concepts from natural language supervision},
+  author={Elizalde, Benjamin and Deshmukh, Soham and Al Ismail, Mahmoud and Wang, Huaming},
+  booktitle={ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
+  pages={1--5},
+  year={2023},
+  organization={IEEE}
+}
+
+@inproceedings{SimCLR,
+  title={A simple framework for contrastive learning of visual representations},
+  author={Chen, Ting and Kornblith, Simon and Norouzi, Mohammad and Hinton, Geoffrey},
+  booktitle={International conference on machine learning},
+  pages={1597--1607},
+  year={2020},
+  organization={PMLR}
+}
+
+@article{FGSM,
+  title={Explaining and harnessing adversarial examples},
+  author={Goodfellow, Ian J and Shlens, Jonathon and Szegedy, Christian},
+  journal={arXiv preprint arXiv:1412.6572},
+  year={2014}
+}
+
+@article{ACL,
+  title={Robust pre-training by adversarial contrastive learning},
+  author={Jiang, Ziyu and Chen, Tianlong and Chen, Ting and Wang, Zhangyang},
+  journal={Advances in neural information processing systems},
+  volume={33},
+  pages={16199--16210},
+  year={2020}
+}
+
+@article{PGD,
+  title={Towards deep learning models resistant to adversarial attacks},
+  author={Madry, Aleksander and Makelov, Aleksandar and Schmidt, Ludwig and Tsipras, Dimitris and Vladu, Adrian},
+  journal={arXiv preprint arXiv:1706.06083},
+  year={2017}
+}
+
+@inproceedings{RCS,
+title={Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection},
+author={Xilie Xu and Jingfeng Zhang and Feng Liu and Masashi Sugiyama and Mohan Kankanhalli},
+booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
+year={2023},
+url={https://openreview.net/forum?id=fpzA8uRA95}
+}
+
+@article{submodular,
+  title={Weakly Submodular Function Maximization Using Local Submodularity Ratio (2020)},
+  author={Santiago, Richard and Yoshida, Yuichi},
+  journal={arXiv preprint arXiv:2004.14650},
+  year={2004}
+}
+
+@inproceedings{AIR,
+title={Enhancing Adversarial Contrastive Learning via Adversarial Invariant Regularization},
+author={Xilie Xu and Jingfeng Zhang and Feng Liu and Masashi Sugiyama and Mohan Kankanhalli},
+booktitle={Thirty-seventh Conference on Neural Information Processing Systems},
+year={2023},
+url={https://openreview.net/forum?id=zuXyQsXVLF}
+}
+
+@article{pre,
+  title={Pre-trained Adversarial Perturbations},
+  author={Ban, Yuanhao and Dong, Yinpeng},
+  journal={Advances in Neural Information Processing Systems},
+  volume={35},
+  pages={1196--1209},
+  year={2022}
+}