Nathalie Baracaldo
Nathalie Baracaldo
IBM Almaden Research Center, Research Staff Member, Ph.D.
Verifierad e-postadress på pitt.edu - Startsida
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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
1402018
Adversarial Robustness Toolbox v1. 0.0
MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ...
arXiv preprint arXiv:1807.01069, 2018
1102018
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
962019
An Adaptive Risk Management and Access Control Framework to Mitigate Insider Threats
N Baracaldo, J Joshi
Computers & Security 39, 237-254, 2013
822013
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
612012
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
412017
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
252019
Shared data encryption and confidentiality
E Androulaki, N Baracaldo, JS Glider, A Sorniotti
US Patent 9,397,832, 2016
242016
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
232014
Privacy-Preserving Process Mining
F Mannhardt, A Koschmider, N Baracaldo, M Weidlich, J Michael
Business & Information Systems Engineering 61 (5), 595-614, 2019
172019
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
172019
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
172018
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
172016
Beyond Accountability: Using Obligations to Reduce Risk Exposure and Deter Insider Attacks
N Baracaldo, J Joshi
ACM Symposium on Access Control Models and Technologies (SACMAT),, 2013
162013
A secure, constraint-aware role-based access control interoperation framework
N Baracaldo, A Masoumzadeh, J Joshi
2011 5th International Conference on Network and System Security, 200-207, 2011
162011
Receipt, data reduction, and storage of encrypted data
E Androulaki, N Baracaldo, JS Glider, A Sorniotti
US Patent 9,397,833, 2016
152016
Geo-Social-RBAC: A Location-based Socially Aware Access Control Framework
N Baracaldo, B Palanisamy, J Joshi
International Conference on Network and System Security (NSS), 2014
132014
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
112019
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
112019
TiFL: A Tier-based Federated Learning System
Z Chai, A Ali, S Zawad, S Truex, A Anwar, N Baracaldo, Y Zhou, H Ludwig, ...
arXiv preprint arXiv:2001.09249, 2020
102020
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Artiklar 1–20