Data poisoning attacks against autoregressive models S Alfeld, X Zhu, P Barford Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 226 | 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 | 140 | 2016 |
Explicit defense actions against test-set attacks S Alfeld, X Zhu, P Barford Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017 | 42 | 2017 |
Adversarial regression with multiple learners L Tong, S Yu, S Alfeld International Conference on Machine Learning, 4946-4954, 2018 | 33 | 2018 |
Adversarial classification on social networks S Yu, Y Vorobeychik, S Alfeld arXiv preprint arXiv:1801.08159, 2018 | 19 | 2018 |
Hard to forget: Poisoning attacks on certified machine unlearning NG Marchant, BIP Rubinstein, S Alfeld Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 7691-7700, 2022 | 16 | 2022 |
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 | 8 | 2021 |
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 | 7 | 2016 |
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 | 7 | 2012 |
PATHATTACK: attacking shortest paths in complex networks BA Miller, Z Shafi, W Ruml, Y Vorobeychik, T Eliassi-Rad, S Alfeld Machine Learning and Knowledge Discovery in Databases. Research Track …, 2021 | 6 | 2021 |
Training set camouflage A Sen, S Alfeld, X Zhang, A Vartanian, Y Ma, X Zhu Decision and Game Theory for Security: 9th International Conference, GameSec …, 2018 | 6 | 2018 |
Fraudulent traffic detection and estimation ML Malloy, S Alfeld, P Barford US Patent 10,832,280, 2020 | 3 | 2020 |
Contamination estimation via convex relaxations ML Malloy, S Alfeld, P Barford 2015 IEEE International Symposium on Information Theory (ISIT), 1189-1193, 2015 | 3 | 2015 |
Approximate Data Deletion in Generative Models Z Kong, S Alfeld arXiv preprint arXiv:2206.14439, 2022 | 2 | 2022 |
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 | 2 | 2019 |
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 | 1 | 2021 |
Targeted residual analysis for improving electric load forecasting S Alfeld, P Barford 2014 IEEE International Energy Conference (ENERGYCON), 459-466, 2014 | 1 | 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 | 1 | 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 | 1 | 2010 |
Optimal teaching for online perceptrons XZHG Ohannessian, A Sen, S Alfeld, X Zhu University of Wisconsin-Madison, 0 | 1 | |