Eugene Bagdasaryan
Eugene Bagdasaryan
Cornell Tech, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
How to backdoor federated learning
E Bagdasaryan, A Veit, Y Hua, D Estrin, V Shmatikov
International Conference on Artificial Intelligence and Statistics, 2938-2948, 2020
2292020
Differential privacy has disparate impact on model accuracy
E Bagdasaryan, O Poursaeed, V Shmatikov
Advances in Neural Information Processing Systems, 15479-15488, 2019
382019
Openrec: A modular framework for extensible and adaptable recommendation algorithms
L Yang, E Bagdasaryan, J Gruenstein, CK Hsieh, D Estrin
Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018
332018
X-containers: Breaking down barriers to improve performance and isolation of cloud-native containers
Z Shen, Z Sun, GE Sela, E Bagdasaryan, C Delimitrou, R Van Renesse, ...
Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019
262019
Derecho: Group communication at the speed of light
J Behrens, K Birman, S Jha, M Milano, E Tremel, E Bagdasaryan, ...
Technical Report. Cornel University, 2016
82016
Blind Backdoors in Deep Learning Models
E Bagdasaryan, V Shmatikov
arXiv preprint arXiv:2005.03823, 2020
62020
Salvaging federated learning by local adaptation
T Yu, E Bagdasaryan, V Shmatikov
arXiv preprint arXiv:2002.04758, 2020
62020
Ancile: Enhancing Privacy for Ubiquitous Computing with Use-Based Privacy
E Bagdasaryan, G Berlstein, J Waterman, E Birrell, N Foster, ...
Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society …, 2019
32019
Modularizing deep neural network-inspired recommendation algorithms
L Yang, E Bagdasaryan, H Wen
Proceedings of the 12th ACM Conference on Recommender Systems, 533-534, 2018
12018
Policy-Based Federated Learning
K Katevas, E Bagdasaryan, J Waterman, MM Safadieh, E Birrell, ...
arXiv preprint arXiv:2003.06612, 2020
2020
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Articles 1–10