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John P. Dickerson
John P. Dickerson
Associate Professor of Computer Science, University of Maryland & Chief Scientist, Arthur AI
Verified email at cs.umd.edu - Homepage
Title
Cited by
Cited by
Year
Adversarial training for free!
A Shafahi, M Najibi, MA Ghiasi, Z Xu, J Dickerson, C Studer, LS Davis, ...
NeurIPS, 2019
13492019
Counterfactual explanations for machine learning: A review
S Verma, J Dickerson, K Hines
arXiv preprint arXiv:2010.10596 2, 2020
4592020
Using sentiment to detect bots on twitter: Are humans more opinionated than bots?
JP Dickerson, V Kagan, VS Subrahmanian
ASONAM, 2014
3782014
Universal Adversarial Training.
A Shafahi, M Najibi, Z Xu, JP Dickerson, LS Davis, T Goldstein
AAAI, 2020
2122020
Failure-aware kidney exchange
JP Dickerson, AD Procaccia, T Sandholm
Proceedings of the fourteenth ACM conference on Electronic commerce, 323-340, 2013
1652013
Just how toxic is data poisoning? a unified benchmark for backdoor and data poisoning attacks
A Schwarzschild, M Goldblum, A Gupta, JP Dickerson, T Goldstein
ICML, 9389-9398, 2021
1522021
Allocation problems in ride-sharing platforms: Online matching with offline reusable resources
JP Dickerson, KA Sankararaman, A Srinivasan, P Xu
ACM Transactions on Economics and Computation (TEAC) 9 (3), 1-17, 2021
1442021
Optimizing kidney exchange with transplant chains: Theory and reality
JP Dickerson, AD Procaccia, T Sandholm
AAMAS, 2012
1322012
LowKey: leveraging adversarial attacks to protect social media users from facial recognition
V Cherepanova, M Goldblum, H Foley, S Duan, J Dickerson, G Taylor, ...
ICLR, 2021
1242021
Counterfactual explanations and algorithmic recourses for machine learning: A review
S Verma, V Boonsanong, M Hoang, KE Hines, JP Dickerson, C Shah
arXiv preprint arXiv:2010.10596, 2020
1212020
Deep k-NN Defense Against Clean-Label Data Poisoning Attacks
N Peri, N Gupta, WR Huang, L Fowl, C Zhu, S Feizi, T Goldstein, ...
Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020
1202020
Adapting a kidney exchange algorithm to align with human values
R Freedman, JS Borg, W Sinnott-Armstrong, JP Dickerson, V Conitzer
Artificial Intelligence 283, 103261, 2020
1152020
Dynamic matching via weighted myopia with application to kidney exchange
JP Dickerson, AD Procaccia, T Sandholm
AAAI, 2012
1152012
Position-indexed formulations for kidney exchange
JP Dickerson, DF Manlove, B Plaut, T Sandholm, J Trimble
EC, 2016
1122016
Price of fairness in kidney exchange
JP Dickerson, AD Procaccia, T Sandholm
AAMAS, 2014
942014
The computational rise and fall of fairness
JP Dickerson, J Goldman, J Karp, AD Procaccia, T Sandholm
AAAI, 2014
892014
Fairness through robustness: Investigating robustness disparity in deep learning
V Nanda, S Dooley, S Singla, S Feizi, JP Dickerson
Proceedings of the 2021 ACM Conference on Fairness, Accountability, and …, 2021
862021
Assessing selective sustained attention in 3-to 5-year-old children: Evidence from a new paradigm
A Fisher, E Thiessen, K Godwin, H Kloos, J Dickerson
Journal of Experimental Child Psychology 114 (2), 275-294, 2013
842013
Ignorance is almost bliss: Near-optimal stochastic matching with few queries
A Blum, JP Dickerson, N Haghtalab, AD Procaccia, T Sandholm, ...
Operations Research 68 (1), 16-34, 2020
82*2020
FutureMatch: Combining Human Value Judgments and Machine Learning to Match in Dynamic Environments.
JP Dickerson, T Sandholm
AAAI, 2015
822015
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