MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds

Authors: Chen, Edward, Dullerud, Natalie, Niedermayr, Thomas, Kidd, Elizabeth, Senanayake, Ransalu, Koh, Pang Wei, Koyejo, Sanmi, Guestrin, Carlos

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/2412.06154

Proof-of-Learning is Currently More Broken Than You Think

Authors: Fang, Congyu, Jia, Hengrui, Thudi, Anvith, Yaghini, Mohammad, Choquette-Choo, Christopher A., Dullerud, Natalie, Chandrasekaran, Varun, Papernot, Nicolas

Source: 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P) EUROSP Security and Privacy (EuroS&P), 2023 IEEE 8th European Symposium on. :797-816 Jul, 2023

Relation: 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)

Proof-of-Learning: Definitions and Practice

Authors: Jia, Hengrui, Yaghini, Mohammad, Choquette-Choo, Christopher A., Dullerud, Natalie, Thudi, Anvith, Chandrasekaran, Varun, Papernot, Nicolas

Source: 2021 IEEE Symposium on Security and Privacy (SP) SP Security and Privacy (SP), 2021 IEEE Symposium on. :1039-1056 May, 2021

Relation: 2021 IEEE Symposium on Security and Privacy (SP)

Private Multi-Winner Voting for Machine Learning

Authors: Dziedzic, Adam, Choquette-Choo, Christopher A, Dullerud, Natalie, Suriyakumar, Vinith Menon, Shamsabadi, Ali Shahin, Kaleem, Muhammad Ahmad, Jha, Somesh, Papernot, Nicolas, Wang, Xiao

Subject Terms: Computer Science - Machine Learning, Computer Science - Cryptography and Security

Access URL: http://arxiv.org/abs/2211.15410

Cellular Immunotherapy Treatment Scheduling to Address Antigen Escape

Authors: Dullerud, Natalie, Jonsson, Vanessa D.

Source: 2020 59th IEEE Conference on Decision and Control (CDC) Decision and Control (CDC), 2020 59th IEEE Conference on. :4634-4639 Dec, 2020

Relation: 2020 59th IEEE Conference on Decision and Control (CDC)

Proof-of-Learning is Currently More Broken Than You Think

Authors: Fang, Congyu, Jia, Hengrui, Thudi, Anvith, Yaghini, Mohammad, Choquette-Choo, Christopher A., Dullerud, Natalie, Chandrasekaran, Varun, Papernot, Nicolas

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Cryptography and Security, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2208.03567

Improving the Fairness of Chest X-ray Classifiers

Authors: Zhang, Haoran, Dullerud, Natalie, Roth, Karsten, Oakden-Rayner, Lauren, Pfohl, Stephen Robert, Ghassemi, Marzyeh

Subject Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society, Electrical Engineering and Systems Science - Image and Video Processing

Access URL: http://arxiv.org/abs/2203.12609

Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning

Authors: Dullerud, Natalie, Roth, Karsten, Hamidieh, Kimia, Papernot, Nicolas, Ghassemi, Marzyeh

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2203.12748

Reading Race: AI Recognises Patient's Racial Identity In Medical Images

Authors: Banerjee, Imon, Bhimireddy, Ananth Reddy, Burns, John L., Celi, Leo Anthony, Chen, Li-Ching, Correa, Ramon, Dullerud, Natalie, Ghassemi, Marzyeh, Huang, Shih-Cheng, Kuo, Po-Chih, Lungren, Matthew P, Palmer, Lyle, Price, Brandon J, Purkayastha, Saptarshi, Pyrros, Ayis, Oakden-Rayner, Luke, Okechukwu, Chima, Seyyed-Kalantari, Laleh, Trivedi, Hari, Wang, Ryan, Zaiman, Zachary, Zhang, Haoran, Gichoya, Judy W

Subject Terms: Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society, Electrical Engineering and Systems Science - Image and Video Processing, 68-XX, I.2

Access URL: http://arxiv.org/abs/2107.10356

An Empirical Framework for Domain Generalization in Clinical Settings

Authors: Zhang, Haoran, Dullerud, Natalie, Seyyed-Kalantari, Laleh, Morris, Quaid, Joshi, Shalmali, Ghassemi, Marzyeh

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2103.11163

CaPC Learning: Confidential and Private Collaborative Learning

Authors: Choquette-Choo, Christopher A., Dullerud, Natalie, Dziedzic, Adam, Zhang, Yunxiang, Jha, Somesh, Papernot, Nicolas, Wang, Xiao

Subject Terms: Computer Science - Machine Learning, Computer Science - Cryptography and Security

Access URL: http://arxiv.org/abs/2102.05188

AI recognition of patient race in medical imaging: a modelling study

Authors: Gichoya, Judy Wawira, Banerjee, Imon, Bhimireddy, Ananth Reddy, Burns, John L, Celi, Leo Anthony, Chen, Li-Ching, Correa, Ramon, Dullerud, Natalie, Ghassemi, Marzyeh, Huang, Shih-Cheng, Kuo, Po-Chih, Lungren, Matthew P, Palmer, Lyle J, Price, Brandon J, Purkayastha, Saptarshi, Pyrros, Ayis T, Oakden-Rayner, Lauren, Okechukwu, Chima, Seyyed-Kalantari, Laleh, Trivedi, Hari, Wang, Ryan, Zaiman, Zachary, Zhang, Haoran

Source: The Lancet Digital Health; 20220101, Issue: Preprints