Scott Alfeld
Scott Alfeld
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Data poisoning attacks against autoregressive models
S Alfeld, X Zhu, P Barford
Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016
An empirical study of web cookies
A Cahn, S Alfeld, P Barford, S Muthukrishnan
Proceedings of the 25th international conference on world wide web, 891-901, 2016
Explicit defense actions against test-set attacks
S Alfeld, X Zhu, P Barford
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Adversarial regression with multiple learners
L Tong, S Yu, S Alfeld
International Conference on Machine Learning, 4946-4954, 2018
Adversarial classification on social networks
S Yu, Y Vorobeychik, S Alfeld
arXiv preprint arXiv:1801.08159, 2018
Toward an analytic framework for the electrical power grid
S Alfeld, C Barford, P Barford
Proceedings of the 3rd International Conference on Future Energy Systems …, 2012
What's in the community cookie jar?
A Cahn, S Alfeld, P Barford, S Muthukrishnan
2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016
Training set camouflage
A Sen, S Alfeld, X Zhang, A Vartanian, Y Ma, X Zhu
International Conference on Decision and Game Theory for Security, 59-79, 2018
PATHATTACK: Attacking Shortest Paths in Complex Networks
BA Miller, Z Shafi, W Ruml, Y Vorobeychik, T Eliassi-Rad, S Alfeld
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021
RAWLSNET: Altering Bayesian Networks to Encode Rawlsian Fair Equality of Opportunity
D Liu, Z Shafi, W Fleisher, T Eliassi-Rad, S Alfeld
Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 745-755, 2021
Fraudulent traffic detection and estimation
ML Malloy, S Alfeld, P Barford
US Patent 10,832,280, 2020
Contamination estimation via convex relaxations
ML Malloy, S Alfeld, P Barford
2015 IEEE International Symposium on Information Theory (ISIT), 1189-1193, 2015
Attacking data transforming learners at training time
S Alfeld, A Vartanian, L Newman-Johnson, BIP Rubinstein
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3167-3174, 2019
Targeted residual analysis for improving electric load forecasting
S Alfeld, P Barford
2014 IEEE International Energy Conference (ENERGYCON), 459-466, 2014
Reducing the team uncertainty penalty: Empirical and theoretical approaches
S Alfeld, K Berkele, S DeSalvo, T Pham, D Russo, LJ Yan, ME Taylor
Sixth Annual Workshop on Multiagent Sequential Decision Making in Uncertain …, 2011
Towards a theoretic understanding of DCEE
S Alfeld, ME Taylor, P Tandon, M Tambe
Proceedings of the Distributed Constraint Reasoning workshop (at AAMAS-10), 2010
Optimal teaching for online perceptrons
XZHG Ohannessian, A Sen, S Alfeld, X Zhu
University of Wisconsin-Madison, 0
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
NG Marchant, BIP Rubinstein, S Alfeld
arXiv preprint arXiv:2109.08266, 2021
Optimal Edge Weight Perturbations to Attack Shortest Paths
BA Miller, Z Shafi, W Ruml, Y Vorobeychik, T Eliassi-Rad, S Alfeld
arXiv preprint arXiv:2107.03347, 2021
POTION: Optimizing Graph Structure for Targeted Diffusion
S Yu, L Torres, S Alfeld, T Eliassi-Rad, Y Vorobeychik
Proceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021
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