| 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 | 409 | 2019 |
| 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 | 354 | 2018 |
| Adversarial Robustness Toolbox v1. 0.0 MI Nicolae, M Sinn, MN Tran, B Buesser, A Rawat, M Wistuba, ... arXiv preprint arXiv:1807.01069, 2018 | 248 | 2018 |
| 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 | 147 | 2019 |
| An Adaptive Risk Management and Access Control Framework to Mitigate Insider Threats N Baracaldo, J Joshi Computers & Security 39, 237-254, 2013 | 91 | 2013 |
| 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 | 80 | 2020 |
| 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 | 77 | 2017 |
| 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 | 66 | 2012 |
| Privacy-Preserving Process Mining F Mannhardt, A Koschmider, N Baracaldo, M Weidlich, J Michael Business & Information Systems Engineering 61 (5), 595-614, 2019 | 59 | 2019 |
| 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 | 50 | 2020 |
| 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 | 44 | 2018 |
| 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 | 42 | 2019 |
| Shared data encryption and confidentiality E Androulaki, N Baracaldo, JS Glider, A Sorniotti US Patent 9,397,832, 2016 | 37 | 2016 |
| 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 | 35 | 2019 |
| 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 | 35 | 2019 |
| 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 | 35 | 2019 |
| 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 | 34 | 2014 |
| 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 | 29 | 2016 |
| Mitigating Bias in Federated Learning A Abay, Y Zhou, N Baracaldo, S Rajamoni, E Chuba, H Ludwig arXiv preprint arXiv:2012.02447, 2020 | 24 | 2020 |
| Receipt, data reduction, and storage of encrypted data E Androulaki, N Baracaldo, JS Glider, A Sorniotti US Patent 9,397,833, 2016 | 22 | 2016 |
Heiko LudwigResearch Manager, IBM Researchus.ibm.com üzerinde doğrulanmış e-posta adresine sahip
