Dickerson, John P.

54 publications

TMLR 2025 Effective Backdoor Mitigation in Vision-Language Models Depends on the Pre-Training Objective Sahil Verma, Gantavya Bhatt, Avi Schwarzschild, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P Dickerson, Pin-Yu Chen, Jeff Bilmes

AISTATS 2025 Robust Fair Clustering with Group Membership Uncertainty Sets Sharmila Duppala, Juan Luque, John P Dickerson, Seyed A. Esmaeili

ICLR 2025 Style Outweighs Substance: Failure Modes of LLM Judges in Alignment Benchmarking Benjamin Feuer, Micah Goldblum, Teresa Datta, Sanjana Nambiar, Raz Besaleli, Samuel Dooley, Max Cembalest, John P Dickerson

IJCAI 2023 Differentiable Economics for Randomized Affine Maximizer Auctions Michael J. Curry, Tuomas Sandholm, John P. Dickerson

AAAI 2023 Do Invariances in Deep Neural Networks Align with Human Perception? Vedant Nanda, Ayan Majumdar, Camila Kolling, John P. Dickerson, Krishna P. Gummadi, Bradley C. Love, Adrian Weller

NeurIPSW 2023 Effective Backdoor Mitigation Depends on the Pre-Training Objective Sahil Verma, Gantavya Bhatt, Soumye Singhal, Arnav Mohanty Das, Chirag Shah, John P Dickerson, Jeff Bilmes

ICML 2023 Generalized Reductions: Making Any Hierarchical Clustering Fair and Balanced with Low Cost Marina Knittel, Max Springer, John P Dickerson, Mohammadtaghi Hajiaghayi

NeurIPSW 2023 Goal-Conditioned Recommendations of AI Explanations Saptarashmi Bandyopadhyay, Vibhu Agrawal, Sarah Savidge, Eric Krokos, John P Dickerson

IJCAI 2023 Group Fairness in Set Packing Problems Sharmila Duppala, Juan Luque, John P. Dickerson, Aravind Srinivasan

AAAI 2023 Networked Restless Bandits with Positive Externalities Christine Herlihy, John P. Dickerson

AAAI 2023 Rawlsian Fairness in Online Bipartite Matching: Two-Sided, Group, and Individual Seyed A. Esmaeili, Sharmila Duppala, Davidson Cheng, Vedant Nanda, Aravind Srinivasan, John P. Dickerson

AISTATS 2022 A New Notion of Individually Fair Clustering: $α$-Equitable $k$-Center Darshan Chakrabarti, John P. Dickerson, Seyed A. Esmaeili, Aravind Srinivasan, Leonidas Tsepenekas

AISTATS 2022 Learning Revenue-Maximizing Auctions with Differentiable Matching Michael J. Curry, Uro Lyi, Tom Goldstein, John P. Dickerson

NeurIPSW 2022 A Deep Dive into Dataset Imbalance and Bias in Face Identification Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P Dickerson, Micah Goldblum, Tom Goldstein

NeurIPSW 2022 A Deep Dive into Dataset Imbalance and Bias in Face Identification Valeriia Cherepanova, Steven Reich, Samuel Dooley, Hossein Souri, John P Dickerson, Micah Goldblum, Tom Goldstein

AAAI 2022 Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models Sahil Verma, Keegan Hines, John P. Dickerson

ICMLW 2022 Centralized vs Individual Models for Decision Making in Interconnected Infrastructure Stephanie Allen, John P Dickerson, Steven A. Gabriel

ICML 2022 Certified Neural Network Watermarks with Randomized Smoothing Arpit Bansal, Ping-Yeh Chiang, Michael J Curry, Rajiv Jain, Curtis Wigington, Varun Manjunatha, John P Dickerson, Tom Goldstein

NeurIPSW 2022 Characterizing Anomalies with Explainable Classifiers Naveen Durvasula, Valentine d'Hauteville, Keegan Hines, John P Dickerson

ICML 2022 Cliff Diving: Exploring Reward Surfaces in Reinforcement Learning Environments Ryan Sullivan, Jordan K Terry, Benjamin Black, John P Dickerson

IJCAI 2022 Forecasting Patient Outcomes in Kidney Exchange Naveen Durvasula, Aravind Srinivasan, John P. Dickerson

ICML 2022 Measuring Representational Robustness of Neural Networks Through Shared Invariances Vedant Nanda, Till Speicher, Camila Kolling, John P Dickerson, Krishna Gummadi, Adrian Weller

NeurIPSW 2022 On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Samuel Dooley, Rhea Sanjay Sukthanker, John P Dickerson, Colin White, Frank Hutter, Micah Goldblum

NeurIPSW 2022 On the Importance of Architectures and Hyperparameters for Fairness in Face Recognition Samuel Dooley, Rhea Sanjay Sukthanker, John P Dickerson, Colin White, Frank Hutter, Micah Goldblum

IJCAI 2022 The Dichotomous Affiliate Stable Matching Problem: Approval-Based Matching with Applicant-Employer Relations Marina Knittel, Samuel Dooley, John P. Dickerson

IJCAI 2021 Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling Naveen Raman, Sanket Shah, John P. Dickerson

AAAI 2021 Fairness, Semi-Supervised Learning, and More: A General Framework for Clustering with Stochastic Pairwise Constraints Brian Brubach, Darshan Chakrabarti, John P. Dickerson, Aravind Srinivasan, Leonidas Tsepenekas

AAAI 2021 Indecision Modeling Duncan C. McElfresh, Lok Chan, Kenzie Doyle, Walter Sinnott-Armstrong, Vincent Conitzer, Jana Schaich Borg, John P. Dickerson

ICML 2021 Just How Toxic Is Data Poisoning? a Unified Benchmark for Backdoor and Data Poisoning Attacks Avi Schwarzschild, Micah Goldblum, Arjun Gupta, John P Dickerson, Tom Goldstein

ICLR 2021 LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P Dickerson, Gavin Taylor, Tom Goldstein

AAAI 2021 Optimal Kidney Exchange with Immunosuppressants Haris Aziz, Ágnes Cseh, John P. Dickerson, Duncan C. McElfresh

AAAI 2021 Scalable Equilibrium Computation in Multi-Agent Influence Games on Networks Fotini Christia, Michael J. Curry, Constantinos Daskalakis, Erik D. Demaine, John P. Dickerson, MohammadTaghi Hajiaghayi, Adam Hesterberg, Marina Knittel, Aidan Milliff

IJCAI 2020 An Algorithm for Multi-Attribute Diverse Matching Saba Ahmadi, Faez Ahmed, John P. Dickerson, Mark D. Fuge, Samir Khuller

AAAI 2020 Balancing the Tradeoff Between Profit and Fairness in Rideshare Platforms During High-Demand Hours Vedant Nanda, Pan Xu, Karthik Abinav Sankararaman, John P. Dickerson, Aravind Srinivasan

AAAI 2020 Clearing Kidney Exchanges via Graph Neural Network Guided Tree Search (Student Abstract) Zeyu Zhao, John P. Dickerson

ECCVW 2020 Deep k-NN Defense Against Clean-Label Data Poisoning Attacks Neehar Peri, Neal Gupta, W. Ronny Huang, Liam Fowl, Chen Zhu, Soheil Feizi, Tom Goldstein, John P. Dickerson

AAAI 2020 Universal Adversarial Training Ali Shafahi, Mahyar Najibi, Zheng Xu, John P. Dickerson, Larry S. Davis, Tom Goldstein

AAAI 2019 A Unified Approach to Online Matching with Conflict-Aware Constraints Pan Xu, Yexuan Shi, Hao Cheng, John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas

AAAI 2019 Balancing Relevance and Diversity in Online Bipartite Matching via Submodularity John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

AAAI 2019 Scalable Robust Kidney Exchange Duncan C. McElfresh, Hoda Bidkhori, John P. Dickerson

AAAI 2018 Adapting a Kidney Exchange Algorithm to Align with Human Values Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer

AAAI 2018 Allocation Problems in Ride-Sharing Platforms: Online Matching with Offline Reusable Resources John P. Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

AAAI 2018 Balancing Lexicographic Fairness and a Utilitarian Objective with Application to Kidney Exchange Duncan C. McElfresh, John P. Dickerson

IJCAI 2018 Equilibrium Behavior in Competing Dynamic Matching Markets Zhuoshu Li, Neal Gupta, Sanmay Das, John P. Dickerson

IJCAI 2017 Diverse Weighted Bipartite B-Matching Faez Ahmed, John P. Dickerson, Mark D. Fuge

JAIR 2017 Multi-Organ Exchange John P. Dickerson, Tuomas Sandholm

IJCAI 2017 Operation Frames and Clubs in Kidney Exchange Gabriele Farina, John P. Dickerson, Tuomas Sandholm

AAAI 2017 Small Representations of Big Kidney Exchange Graphs John P. Dickerson, Aleksandr M. Kazachkov, Ariel D. Procaccia, Tuomas Sandholm

AAAI 2016 Fast Optimal Clearing of Capped-Chain Barter Exchanges Benjamin Plaut, John P. Dickerson, Tuomas Sandholm

AAAI 2015 FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments John P. Dickerson, Tuomas Sandholm

AAAI 2015 Strategy-Proof and Efficient Kidney Exchange Using a Credit Mechanism Chen Hajaj, John P. Dickerson, Avinatan Hassidim, Tuomas Sandholm, David Sarne

AAAI 2014 Multi-Organ Exchange: The Whole Is Greater than the Sum of Its Parts John P. Dickerson, Tuomas Sandholm

AAAI 2014 The Computational Rise and Fall of Fairness John P. Dickerson, Jonathan R. Goldman, Jeremy Karp, Ariel D. Procaccia, Tuomas Sandholm

AAAI 2012 Dynamic Matching via Weighted Myopia with Application to Kidney Exchange John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm