Publications

2023

1. 

   Counterfactual Fairness Is Basically Demographic Parity

   Lucas Rosenblatt, and R Teal Witter

   Proceedings of AAAI 2023

   Bib PDF

   @article{rosenblatt2022counterfactual,
     title = {Counterfactual Fairness Is Basically Demographic Parity},
     author = {Rosenblatt, Lucas and Witter, R Teal},
     journal = {Proceedings of AAAI},
     year = {2023},
   }

2. 

   Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy

   Lucas Rosenblatt, Anastasia Holovenko, Taras Rumezhak, Andrii Stadnik, Bernease Herman, Julia Stoyanovich, and Bill Howe

   Proceedings of the VLDB Endowment 2023

   Bib PDF

   @article{rosenblatt2022epistemic,
     title = {Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy},
     author = {Rosenblatt, Lucas and Holovenko, Anastasia and Rumezhak, Taras and Stadnik, Andrii and Herman, Bernease and Stoyanovich, Julia and Howe, Bill},
     journal = {Proceedings of the VLDB Endowment},
     year = {2023},
   }

3. 

   The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice

   Andrew Bell, Lucius Bynum, Nazarii Drushchak, Tetiana Herasymova, Lucas Rosenblatt, and Julia Stoyanovich

   Proceedings of the Conference on Fairness, Accountability, and Transparency (ACM FAccT) 2023

   Bib PDF

   @article{bell2023possibility,
     title = {The Possibility of Fairness: Revisiting the Impossibility Theorem in Practice},
     author = {Bell, Andrew and Bynum, Lucius and Drushchak, Nazarii and Herasymova, Tetiana and Rosenblatt, Lucas and Stoyanovich, Julia},
     journal = {Proceedings of the Conference on Fairness, Accountability, and Transparency (ACM FAccT)},
     year = {2023},
   }

2022

1. 

   Spending Privacy Budget Fairly and Wisely

   Lucas Rosenblatt, Joshua Allen, and Julia Stoyanovich

   Theory and Practice of Differential Privacy 2022 (@ICML) 2022

   Bib PDF

   @article{rosenblatt2022spending,
     title = {Spending Privacy Budget Fairly and Wisely},
     author = {Rosenblatt, Lucas and Allen, Joshua and Stoyanovich, Julia},
     journal = {Theory and Practice of Differential Privacy 2022 (@ICML)},
     year = {2022},
   }

2. 

   Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI

   Lucas Rosenblatt, Lorena Piedras, and Julia Wilkins

   In Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI) 2022

   Bib PDF

   @inproceedings{rosenblatt2022critical,
     title = {Critical Perspectives: A Benchmark Revealing Pitfalls in PerspectiveAPI},
     author = {Rosenblatt, Lucas and Piedras, Lorena and Wilkins, Julia},
     booktitle = {Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)},
     pages = {15--24},
     year = {2022},
   }

2021

1. 

   PerfGuard: deploying ML-for-systems without performance regressions, almost!

   Remmelt Ammerlaan, Gilbert Antonius, Marc Friedman, HM Sajjad Hossain, Alekh Jindal, Peter Orenberg, Hiren Patel, Shi Qiao, Vijay Ramani, Lucas Rosenblatt, and  others

   Proceedings of the VLDB Endowment 2021

   Bib PDF

   @article{ammerlaan2021perfguard,
     title = {PerfGuard: deploying ML-for-systems without performance regressions, almost!},
     author = {Ammerlaan, Remmelt and Antonius, Gilbert and Friedman, Marc and Hossain, HM Sajjad and Jindal, Alekh and Orenberg, Peter and Patel, Hiren and Qiao, Shi and Ramani, Vijay and Rosenblatt, Lucas and others},
     journal = {Proceedings of the VLDB Endowment},
     volume = {14},
     number = {13},
     pages = {3362--3375},
     year = {2021},
     publisher = {VLDB Endowment},
   }

2020

1. 

   Differentially private synthetic data: Applied evaluations and enhancements

   Lucas Rosenblatt, Xiaoyan Liu, Samira Pouyanfar, Eduardo Leon, Anuj Desai, and Joshua Allen

   arXiv preprint arXiv:2011.05537 2020

   Bib PDF

   @article{rosenblatt2020differentially,
     title = {Differentially private synthetic data: Applied evaluations and enhancements},
     author = {Rosenblatt, Lucas and Liu, Xiaoyan and Pouyanfar, Samira and de Leon, Eduardo and Desai, Anuj and Allen, Joshua},
     journal = {arXiv preprint arXiv:2011.05537},
     year = {2020},
   }

2. 

   PerfGuard: Deploying ML-for-Systems without Performance Regressions

   HM Sajjad Hossain, Lucas Rosenblatt, Gilbert Antonius, Irene Shaffer, Remmelt Ammerlaan, Abhishek Roy, Markus Weimer, Hiren Patel, Marc Friedman, Shi Qiao, Peter Orenberg, and  others

   MLOps 2020

   Bib PDF

   @article{hossain2020perfguard,
     title = {PerfGuard: Deploying ML-for-Systems without Performance Regressions},
     author = {Hossain, HM Sajjad and Rosenblatt, Lucas and Antonius, Gilbert and Shaffer, Irene and Ammerlaan, Remmelt and Roy, Abhishek and Weimer, Markus and Patel, Hiren and Friedman, Marc and Qiao, Shi and Orenberg, Peter and others},
     journal = {MLOps},
     year = {2020},
   }

2018

1. 

   Vocal programming for people with upper-body motor impairments

   Lucas Rosenblatt, Patrick Carrington, Kotaro Hara, and Jeffrey P Bigham

   In Proceedings of the 15th International Web for All Conference 2018

   Bib PDF

   @inproceedings{rosenblatt2018vocal,
     title = {Vocal programming for people with upper-body motor impairments},
     author = {Rosenblatt, Lucas and Carrington, Patrick and Hara, Kotaro and Bigham, Jeffrey P},
     booktitle = {Proceedings of the 15th International Web for All Conference},
     pages = {1--10},
     year = {2018},
   }

2017

1. 

   Vocalide: An ide for programming via speech recognition

   Lucas Rosenblatt

   In Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility 2017

   Bib PDF

   @inproceedings{rosenblatt2017vocalide,
     title = {Vocalide: An ide for programming via speech recognition},
     author = {Rosenblatt, Lucas},
     booktitle = {Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility},
     pages = {417--418},
     year = {2017},
   }