%--------Fairness-----------

@inproceedings{Dwork-fairness,
  author = {Dwork, C. and Hardt, M. and Pitassi, T. and Reingold, O. and Zemel, R.},
  title = {Fairness through Awareness},
  booktitle = {Proceedings of the 3rd Innovations in Theoretical Computer Science Conference},
  pages = {214--226},
  year = {2012}
}

@inproceedings{Hardt-fairness,
  author = {Hardt, M. and Price, E. and Srebro, N.},
  title = {Equality of Opportunity in Supervised Learning},
  booktitle = {Proceedings of Advances in Neural Information Processing Systems},
  pages = {3323--3331},
  year = {2016}
}

@inproceedings{mary-fairness,
  author = {Mary, J. and Calauzenes, C. and El Karoui, N.},
  title = {Fairness-Aware Learning for Continuous Attributes and Treatments},
  booktitle = {Proceedings of International Conference on Machine Learning},
  pages = {4382--4391},
  volume = {97},
  series = {PMLR},
  year = {2019}
}

@article{FERMI,
  author = {Lowy, A. and Pavan, R. and Baharlouei, S. and Razaviyayn, M. and Beirami, A.},
  title = {A Stochastic Optimization Framework for Fair Risk Minimization},
  journal = {Proceedings of Transactions of Machine Learning Research},
  year = {2022}
}

@inproceedings{fairness-zafar,
  author = {Zafar, M. B. and Valera, I. and Rodriguez, M. G. and Gummadi, K. P.},
  title = {Fairness Constraints: Mechanisms for Fair Classification},
  booktitle = {Proceedings of the 20th International Conference on Artificial Intelligence and Statistics},
  pages = {962--970},
  volume = {54},
  series = {PMLR},
  year = {2017}
}

@inproceedings{fairness-feldman,
  author = {Feldman, M. and Friedler, S. A. and Moeller, J. and Scheidegger, C. and Venkatasubramanian, S.},
  title = {Certifying and Removing Disparate Impact},
  booktitle = {Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  pages = {259--268},
  year = {2015}
}

@inproceedings{fairness-kamishima,
  author = {Kamishima, T. and Akaho, S. and Sakuma, J.},
  title = {Fairness-Aware Learning through Regularization Approach},
  booktitle = {Proceedings of IEEE 11th International Conference on Data Mining Workshops},
  pages = {643--650},
  year = {2011}
}

@inproceedings{fairness-jiang,
  author = {Jiang, R. and Pacchiano, A. and Stepleton, T. and Jiang, H. and Chiappa, S.},
  title = {Wasserstein Fair Classification},
  booktitle = {Proceedings of the Conference on Uncertainty in Artificial Intelligence},
  pages = {862--872},
  series = {PMLR},
  year = {2020}
}

@inproceedings{fairness-baharlouei,
  author = {Baharlouei, S. and Nouiehed, M. and Beirami, A. and Razaviyayn, M.},
  title = {Rényi Fair Inference},
  booktitle = {Proceedings of International Conference on Learning Representations},
  year = {2020}
}

@inproceedings{fairness-rezaei,
  author = {Rezaei, A. and Fathony, R. and Memarrast, O. and Ziebart, B. D.},
  title = {Fairness for Robust Log Loss Classification},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  pages = {5511--5518},
  year = {2020}
}

@inproceedings{fairness-cho,
  author = {Cho, J. and Hwang, G. and Suh, C.},
  title = {A Fair Classifier Using Mutual Information},
  booktitle = {Proceedings of IEEE International Symposium on Information Theory},
  pages = {2521--2526},
  year = {2020}
}

@inproceedings{fairness-kde,
  author = {Cho, J. and Hwang, G. and Suh, C.},
  title = {A Fair Classifier Using Kernel Density Estimation},
  booktitle = {Proceedings of Advances in Neural Information Processing Systems},
  pages = {15088--15099},
  year = {2020}
}

@inproceedings{fairness-donni,
  author = {Donini, M. and Oneto, L. and Ben-David, S. and Shawe-Taylor, J. S. and Pontil, M.},
  title = {Empirical Risk Minimization under Fairness Constraints},
  booktitle = {Proceedings of Advances in Neural Information Processing Systems},
  pages = {2791--2801},
  year = {2018}
}
%-------Unlearning---------%

@inproceedings{making-systems-forget,
author = {Yinzhi Cao and Junfeng Yang},
booktitle = {Proceedings of IEEE Symposium on Security and Privacy},
title = {Towards Making Systems Forget with Machine Unlearning},
year = {2015},
pages ={463-480}
}

@inproceedings{making-ai-forget,
author = {Antonio Ginart and Melody Guan and Gregory Valiant and James Y. Zou},
booktitle = {Proceedings of the 33rd Conference on Neural Information Processing Systems (NeurIPS)},
title = {Making AI Forget You: Data Deletion in Machine Learning},
pages = {3518 - 3531},
year = {2019}
}

@inproceedings{golatkar2020eternal,
  title={Eternal sunshine of the spotless net: Selective forgetting in deep networks},
  author={Golatkar, Aditya and Achille, Alessandro and Soatto, Stefano},
  booktitle ={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9304-9312},
  year={2020}
}

@inproceedings{golatkar2020forgetting,
  title={Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations},
  author={Golatkar, Aditya and Achille, Alessandro and Soatto, Stefano},
  booktitle={Proceedings of Computer Vision--ECCV 2020: 16th European Conference, Part XXIX 16},
  pages={383-398},
  year={2020},
  organization={Springer}
}

@inproceedings{golatkar2021mixed,
  title={Mixed-privacy forgetting in deep networks},
  author={Golatkar, Aditya and Achille, Alessandro and Ravichandran, Avinash and Polito, Marzia and Soatto, Stefano},
  booktitle={Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
  pages={792-801},
  year={2021}
}

@inproceedings{pbu,
    author = {Subhodip Panda and Shashwat Sourav and Prathosh A.P.},
    title = {Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective},
    booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
    pages = {6372-6380},
    year = {2025}
}

@inproceedings{mu-bad-teaching,
    author = {Vikram S Chundawat and Ayush K Tarun and Murari Mandal and Mohan Kankanhalli},
    title = {Can Bad Teaching Induce Forgetting? Unlearning in Deep Networks Using an Incompetent Teacher},
    booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
    pages = {7210 - 7217},
    year = {2023}
}

@inproceedings{graves2021amnesiac,
  title={Amnesiac machine learning},
  author={Graves, Laura and Nagisetty, Vineel and Ganesh, Vijay},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={35},
  number={13},
  pages={11516-11524},
  year={2021}
}

@inproceedings{descent-to-delete,
author = {Seth Neel and Aaron Roth and Saeed Sharifi-Malvajerdi},
booktitle = {Proceedings of the 32nd International Conference on Algorithmic Learning Theory},
title = {Descent-to-Delete: Gradient-Based Methods for Machine Unlearning},
volume={PMLR:132},
pages={1-32},
year = {2021}
}

@inproceedings{bayesianunlearning,
author = {Quoc Phong Nguyen and Bryan Kian Hsiang Low and Patrick Jaillet},
booktitle = {Proceedings of the 34th International Conference on Neural Information Processing Systems},
title = {Variational Bayesian Unlearning},
pages={16025 - 16036},
year = {2020}
}

@inproceedings{rmwhatforget,
author = {Ayush Sekhari and Jayadev Acharya and Gautam Kamath and Ananda Theertha Suresh},
booktitle = {Proceedings of the 35th International Conference on Neural Information Processing Systems},
title = {Remember What You Want to Forget: Algorithms for Machine Unlearnings},
pages={18075 - 18086},
year = {2021}
}

@inproceedings{deltagrad,
author = {Yinjun Wu and  Edgar Dobriban and  Susan B. Davidson},
booktitle = {Proceedings of the 37th International Conference on Machine Learning},
title = {DeltaGrad: Rapid retraining of machine learning models},
pages={PMLR 119:10355-10366},
year = {2020}
}

@inproceedings{cetified-data-removal,
author = {Chuan Guo and Tom Goldstein and Awni Hannun and Laurens van der Maaten},
booktitle = {Proceedings of the 37th International Conference on Machine Learning},
title = {Certified data removal from machine learning models},
pages={3832 - 3842},
year = {2020}
}

@inproceedings{puma,
author = {Ga Wu and Masoud Hashemi and Christopher Srinivasa},
booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
title = {PUMA: Performance Unchanged Model Augmentation for Training Data Removal},
pages={8675-8682},
year = {2022}
}

@inproceedings{MU-random-forest,
author = {Jonathan Brophy and Daniel Lowd},
booktitle = {Proceedings of the 38th International Conference on Machine Learning},
title = {Machine Unlearning for Random Forests},
pages={PMLR:139},
year = {2021}
}

@article{unlearningsurvey1,
author = {Heng Xu and  Tianqing Zhu and  Lefeng Zhang and  Wanlei Zhou and  Philip S. Yu},
journal = {Proceedings of ACM Computing Surveys Vol. 56, No. 1},
title = {Machine Unlearning: A Survey},
volume={56},
pages={1 - 36},
year = {2020}
}

@article{unlearningsurvey2,
author = {Thanh Tam Nguyen and  Thanh Trung Huynh and  Phi Le Nguyen and  Alan Wee-Chung Liew and  Hongzhi Yin and  Quoc Viet Hung Nguyen},
journal = {arXiv preprint arXiv:2209.02299},
title = {A Survey of Machine Unlearning},
year = {2022}
}


%-----------Concept Erasure-----------

@inproceedings{Togla-man-vs-woman,
    author = {Tolga Bolukbasi and Kai-Wei Chang and James Zou and Venkatesh Saligrama and Adam Kalai},
    title = {Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings},
    booktitle = {Proceedings of the 30th Conference on Neural Information Processing Systems (NeurIPS)},
    year = {2016}
}

@inproceedings{ravfogel-linear-erasure,
    author = {Shauli Ravfogel and Michael Twiton and Yoav Goldberg and Ryan Cotterell},
    title = {Linear Adversarial Concept Erasure},
    booktitle = {Proceedings of the 39th International Conference on Machine Learning (ICML)},
    pages = {18400--18421},
    year = {2022}
}

@inproceedings{ravfogel-adverserial-erasure,
    author = {Shauli Ravfogel and Francisco Vargas and Yoav Goldberg and Ryan Cotterell},
    title = {Adversarial Concept Erasure in Kernel Space},
    booktitle = {Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)},
    pages = {6034--6055},
    year = {2022}
}

@inproceedings{rate-distort-erasure,
    author = {Somnath Basu Roy Chowdhury and Nicholas Monath and Avinava Dubey and Amr Ahmed and Snigdha Chaturvedi},
    title = {Robust Concept Erasure via Kernelized Rate-Distortion Maximization},
    booktitle = {Proceedings of the 37th International Conference on Neural Information Processing Systems (NeurIPS)},
    pages = {43284--43306},
    year = {2023}
}


%------------Misc----------%
@book{dataset-bais,
    title = {Proceedings of Advances in Computer Vision and Pattern Recognition},
    author = {Tatiana Tommasi and Novi Patricia and Barbara Caputo and Tinne Tuytelaars},
    year = {2017},
    publisher = {Springer}
}

@inproceedings{CelebA,
    author = {Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
    title = {Deep Learning Face Attributes in the Wild},
    booktitle = {Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV)},
    pages = {3730--3738},
    year = {2015}
}

@article{lecun1998gradient,
    title = {Gradient-based learning applied to document recognition},
    author = {LeCun, Yann and Bottou, L{\'e}on and Bengio, Yoshua and Haffner, Patrick},
    journal = {Proceedings of the IEEE},
    volume = {86},
    number = {11},
    pages = {2278--2324},
    year = {1998},
    publisher = {IEEE}
}

@techreport{krizhevsky2009learning,
    title = {Learning Multiple Layers of Features from Tiny Images},
    author = {Krizhevsky, Alex and Hinton, Geoffrey},
    institution = {University of Toronto},
    year = {2009}
}

@inproceedings{he2016deep,
    title = {Deep Residual Learning for Image Recognition},
    author = {He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages = {770--778},
    year = {2016}
}

@inproceedings{cat-forgetting-cohen,
    author = {Michael McCloskey and Neal J. Cohen},
    title = {Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem},
    booktitle = {Proceedings of Psychology of Learning and Motivation},
    year = {1989}
}

@inproceedings{cat-forgetting-goodfellow,
    author = {Ian J. Goodfellow and Mehdi Mirza and Da Xiao and Aaron Courville and Yoshua Bengio},
    title = {An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks},
    booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
    year = {2014}
}

@inproceedings{cat-forgetting-kirkpatrick,
    author = {James Kirkpatrick and Razvan Pascanu and Neil Rabinowitz and Joel Veness and Guillaume Desjardins and Andrei A. Rusu and Kieran Milan and John Quan and Tiago Ramalho and Agnieszka Grabska-Barwinska and others},
    title = {Overcoming Catastrophic Forgetting in Neural Networks},
    booktitle = {Proceedings of the National Academy of Sciences},
    volume = {114},
    pages = {3521--3526},
    year = {2017}
}

@inproceedings{dall-e,
    title = {Zero-shot Text-to-Image Generation},
    author = {Ramesh, Aditya and Pavlov, Mikhail and Goh, Gabriel and Gray, Scott and Voss, Chelsea and Radford, Alec and Chen, Mark and Sutskever, Ilya},
    booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
    pages = {8821--8831},
    year = {2021},
    organization = {PMLR}
}

@article{dall-e2,
    title = {Hierarchical Text-Conditional Image Generation with CLIP Latents},
    author = {Ramesh, Aditya and Dhariwal, Prafulla and Nichol, Alex and Chu, Casey and Chen, Mark},
    journal = {arXiv preprint arXiv:2204.06125},
    volume = {1},
    number = {2},
    pages = {3},
    year = {2022}
}

@inproceedings{stable-diffusion,
    title = {High-Resolution Image Synthesis with Latent Diffusion Models},
    author = {Rombach, Robin and Blattmann, Andreas and Lorenz, Dominik and Esser, Patrick and Ommer, Bj{\"o}rn},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    pages = {10684--10695},
    year = {2022}
}

@inproceedings{mobinetv2,
    author = {Mark Sandler and Andrew Howard and Menglong Zhu and Andrey Zhmoginov and Liang-Chieh Chen},
    title = {MobileNetV2: Inverted Residuals and Linear Bottlenecks},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2018}
}

@inproceedings{densenet,
    author = {Gao Huang and Zhuang Liu and Laurens van der Maaten and Kilian Q. Weinberger},
    title = {Densely Connected Convolutional Networks},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2017}
}

@inproceedings{resnext,
    author = {Saining Xie and Ross Girshick and Piotr Dollár and Zhuowen Tu and Kaiming He},
    title = {Aggregated Residual Transformations for Deep Neural Networks},
    booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2017}
}

@inproceedings{vit,
    author = {Alexey Dosovitskiy and Lucas Beyer and Alexander Kolesnikov and Dirk Weissenborn and Xiaohua Zhai and Thomas Unterthiner and Mostafa Dehghani and Matthias Minderer and Georg Heigold and Sylvain Gelly and Jakob Uszkoreit and Neil Houlsby},
    title = {An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale},
    booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
    year = {2021}
}

@inproceedings{temp-scaling,
    author = {Chuan Guo and Geoff Pleiss and Yu Sun and Kilian Q. Weinberger},
    title = {On Calibration of Modern Neural Networks},
    booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
    year = {2017}
}

@inproceedings{annealing,
    author = {Yuqing Ma and Hainan Li and Zhange Zhang and Jinyang Guo and Shanghang Zhang and Ruihao Gong and Xianglong Liu},
    title = {Annealing-based Label-Transfer Learning for Open World Object Detection},
    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year = {2023}
}

@inproceedings{nucleus-sampling,
    author = {Ari Holtzman and Jan Buys and Li Du and Maxwell Forbes and Yejin Choi},
    title = {The Curious Case of Neural Text Degeneration},
    booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
    year = {2020}
}

@inproceedings{mini-imagenet,
    author = {Oriol Vinyals and Charles Blundell and Timothy Lillicrap and Koray Kavukcuoglu and Daan Wierstra},
    title = {Matching Networks for One Shot Learning},
    booktitle = {Proceedings of the 30th Conference on Neural Information Processing Systems (NeurIPS)},
    year = {2016}
}
