Natalie Dullerud

23 papers A* 5A 1Journal 12Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALMo: Interactive Aim-Limit-Defined, Multi-Objective System for Personalized High-Dose-Rate Brachytherapy Treatment Planning and Visualization for Cervical Cancer. CoRR Edward Chen, Natalie Dullerud, Pang Wei Koh, Thomas Niedermayr, Elizabeth Kidd, Sanmi Koyejo, Carlos Guestrin
2025	J	`jnl`	Interactive Multi-Objective Probabilistic Preference Learning with Soft and Hard Bounds. CoRR Edward Chen, Sang T. Truong, Natalie Dullerud, Sanmi Koyejo, Carlos Guestrin
2025	—	`conf`	Trustworthy ML Regulation as a Principal-Agent Problem. FAccT Mohammad Yaghini, Patty Liu, Andrew Magnuson, Natalie Dullerud, Nicolas Papernot
2024	J	`jnl`	MoSH: Modeling Multi-Objective Tradeoffs with Soft and Hard Bounds. CoRR Edward Chen, Natalie Dullerud, Thomas Niedermayr, Elizabeth Kidd, Ransalu Senanayake, Pang Wei Koh, Sanmi Koyejo, Carlos Guestrin
2023	A*	`conf`	Confidential-PROFITT: Confidential PROof of FaIr Training of Trees. ICLR Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller
2023	J	`jnl`	Private Multi-Winner Voting for Machine Learning. Proc. Priv. Enhancing Technol. Adam Dziedzic, Christopher A. Choquette-Choo, Natalie Dullerud, Vinith M. Suriyakumar, Ali Shahin Shamsabadi, Muhammad Ahmad Kaleem, Somesh Jha, Nicolas Papernot, Xiao Wang
2023	A	`conf`	Proof-of-Learning is Currently More Broken Than You Think. EuroS&P Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
2022	—	`conf`	Improving the Fairness of Chest X-ray Classifiers. CHIL Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Pfohl, Marzyeh Ghassemi
2022	J	`jnl`	Improving the Fairness of Chest X-ray Classifiers. CoRR Haoran Zhang, Natalie Dullerud, Karsten Roth, Lauren Oakden-Rayner, Stephen Robert Pfohl, Marzyeh Ghassemi
2022	A*	`conf`	Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. ICLR Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
2022	J	`jnl`	Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning. CoRR Natalie Dullerud, Karsten Roth, Kimia Hamidieh, Nicolas Papernot, Marzyeh Ghassemi
2022	J	`jnl`	On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof-of-Learning. CoRR Congyu Fang, Hengrui Jia, Anvith Thudi, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Varun Chandrasekaran, Nicolas Papernot
2022	J	`jnl`	Private Multi-Winner Voting for Machine Learning. CoRR Adam Dziedzic, Christopher A. Choquette-Choo, Natalie Dullerud, Vinith Menon Suriyakumar, Ali Shahin Shamsabadi, Muhammad Ahmad Kaleem, Somesh Jha, Nicolas Papernot, Xiao Wang
2022	A*	`conf`	Washing The Unwashable : On The (Im)possibility of Fairwashing Detection. NeurIPS Ali Shahin Shamsabadi, Mohammad Yaghini, Natalie Dullerud, Sierra Calanda Wyllie, Ulrich Aïvodji, Aisha Alaagib, Sébastien Gambs, Nicolas Papernot
2021	J	`jnl`	An Empirical Framework for Domain Generalization in Clinical Settings. CoRR Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
2021	—	`conf`	An empirical framework for domain generalization in clinical settings. CHIL Haoran Zhang, Natalie Dullerud, Laleh Seyyed-Kalantari, Quaid Morris, Shalmali Joshi, Marzyeh Ghassemi
2021	A*	`conf`	CaPC Learning: Confidential and Private Collaborative Learning. ICLR Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
2021	J	`jnl`	CaPC Learning: Confidential and Private Collaborative Learning. CoRR Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
2021	—	`conf`	Can You Fake It Until You Make It?: Impacts of Differentially Private Synthetic Data on Downstream Classification Fairness. FAccT Victoria Cheng, Vinith M. Suriyakumar, Natalie Dullerud, Shalmali Joshi, Marzyeh Ghassemi
2021	A*	`conf`	Proof-of-Learning: Definitions and Practice. SP Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2021	J	`jnl`	Proof-of-Learning: Definitions and Practice. CoRR Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2021	J	`jnl`	Reading Race: AI Recognises Patient's Racial Identity In Medical Images. CoRR Imon Banerjee, Ananth Reddy Bhimireddy, John L. Burns, Leo Anthony Celi, Li-Ching Chen, Ramon Correa, Natalie Dullerud, Marzyeh Ghassemi, Shih-Cheng Huang, Po-Chih Kuo, Matthew P. Lungren, Lyle J. Palmer, Brandon J. Price, Saptarshi Purkayastha, Ayis Pyrros, Luke Oakden-Rayner, Chima Okechukwu, Laleh Seyyed-Kalantari, Hari Trivedi, Ryan Wang, Zachary Zaiman, Haoran Zhang, Judy W. Gichoya
2020	—	`conf`	Cellular Immunotherapy Treatment Scheduling to Address Antigen Escape. CDC Natalie Dullerud, Vanessa D. Jonsson