Takip et
Nathalie Baracaldo
Nathalie Baracaldo
IBM Almaden Research Center, Research Staff Member, Ph.D.
pitt.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
A hybrid approach to privacy-preserving federated learning
S Truex, N Baracaldo, A Anwar, T Steinke, H Ludwig, R Zhang, Y Zhou
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
4092019
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
B Chen, W Carvalho, N Baracaldo, H Ludwig, B Edwards, T Lee, I Molloy, ...
arXiv preprint arXiv:1811.03728, 2018
3542018
Adversarial Robustness Toolbox v1. 0.0
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 2018
2482018
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
R Xu, N Baracaldo, Y Zhou, A Anwar, H Ludwig
Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security …, 2019
1472019
An Adaptive Risk Management and Access Control Framework to Mitigate Insider Threats
N Baracaldo, J Joshi
Computers & Security 39, 237-254, 2013
912013
Tifl: A tier-based federated learning system
Z Chai, A Ali, S Zawad, S Truex, A Anwar, N Baracaldo, Y Zhou, H Ludwig, ...
Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020
802020
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach
N Baracaldo, B Chen, H Ludwig, JA Safavi
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security …, 2017
772017
A trust-and-risk aware RBAC framework: tackling insider threat
N Baracaldo, J Joshi
Proceedings of the 17th ACM symposium on Access Control Models and …, 2012
662012
Privacy-Preserving Process Mining
F Mannhardt, A Koschmider, N Baracaldo, M Weidlich, J Michael
Business & Information Systems Engineering 61 (5), 595-614, 2019
592019
IBM Federated Learning: an Enterprise Framework White Paper V0. 1
H Ludwig, N Baracaldo, G Thomas, Y Zhou, A Anwar, S Rajamoni, Y Ong, ...
arXiv preprint arXiv:2007.10987, 2020
502020
Detecting Poisoning Attacks on Machine Learning in IoT Environments
RZ Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Amir Safavi
IEEE International Congress on Internet of Things (ICIOT), 2018
442018
Towards Taming the Resource and Data Heterogeneity in Federated Learning
Z Chai, H Fayyaz, Z Fayyaz, A Anwar, Y Zhou, N Baracaldo, H Ludwig, ...
2019 {USENIX} Conference on Operational Machine Learning (OpML 19), 19-21, 2019
422019
Shared data encryption and confidentiality
E Androulaki, N Baracaldo, JS Glider, A Sorniotti
US Patent 9,397,832, 2016
372016
User-centered and privacy-driven process mining system design for IoT
J Michael, A Koschmider, F Mannhardt, N Baracaldo, B Rumpe
International Conference on Advanced Information Systems Engineering, 194-206, 2019
352019
User-Centered and Privacy-Driven Process Mining System Design for IoT
J Michael, A Koschmider, F Mannhardt, N Baracaldo, B Rumpe
International Conference on Advanced Information Systems Engineering, 194-206, 2019
352019
User-centered and privacy-driven process mining system design for iot
J Michael, A Koschmider, F Mannhardt, N Baracaldo, B Rumpe
International Conference on Advanced Information Systems Engineering, 194-206, 2019
352019
Reconciling End-to-End Confidentiality and Data Reduction In Cloud Storage
N Baracaldo, E Androulaki, J Glider, A Sorniotti
Proceedings of the 6th edition of the ACM Workshop on Cloud Computing …, 2014
342014
Securing Data Provenance in Internet of Things (IoT) Systems
N Baracaldo, LAD Bathen, RO Ozugha, R Engel, S Tata, H Ludwig
International Conference on Service-Oriented Computing, 92-98, 2016
292016
Mitigating Bias in Federated Learning
A Abay, Y Zhou, N Baracaldo, S Rajamoni, E Chuba, H Ludwig
arXiv preprint arXiv:2012.02447, 2020
242020
Receipt, data reduction, and storage of encrypted data
E Androulaki, N Baracaldo, JS Glider, A Sorniotti
US Patent 9,397,833, 2016
222016
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20