Nathalie Baracaldo 
contact information
Manager of AI Security and Privacy Solutions, Research Staff Member, IBM Master Inventor, Ph.D.Almaden Research Center, San Jose, CA, USA
links
2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo
ICML Workshop, 2022
Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo
ICML Workshop, 2022
Single-shot Hyper-parameter Optimization for Federated Learning: A General Algorithm & Analysis
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Technical Report, 2022
Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig
Technical Report, 2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schopp, Matthias Buchinger
Technical Report, 2022
Nathalie Baracaldo, Ali Anwar, Mark Purcell, Ambrish Rawat, Mathieu Sinn, Bashar Altakrouri, Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schopp, Matthias Buchinger
Technical Report, 2022
Protecting Against Data Leakage in Federated Learning: What Approach Should You Choose?
Nathalie Baracaldo, Runhua Xu
Federated Learning: A Comprehensive Overview of Methods and Applications , pp. 281--312, Springer International Publishing, 2022
Abstract
Nathalie Baracaldo, Runhua Xu
Federated Learning: A Comprehensive Overview of Methods and Applications , pp. 281--312, Springer International Publishing, 2022
Abstract
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting (best paper)
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, and Heiko Ludwig
IEEE Cloud, 2022
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, and Heiko Ludwig
IEEE Cloud, 2022
Federated Learning A Comprehensive Overview of Methods and Applications
Heiko Ludwig, Nathalie Baracaldo
Springer , 2022
Heiko Ludwig, Nathalie Baracaldo
Springer , 2022
2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
Y Zhou, P Ram, T Salonidis, N Baracaldo, H Samulowitz, H Ludwig
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership workshop at NeurIPS, 2021
Y Zhou, P Ram, T Salonidis, N Baracaldo, H Samulowitz, H Ludwig
New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership workshop at NeurIPS, 2021
Accountable Federated Machine Learning in Government: Engineering and Management Insights (Best paper award)
Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schopp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Mathieu Sinn, Mark Purcell and Bashar Altakrouri
IFIP EGOV 2021
Abstract
Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schopp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Mathieu Sinn, Mark Purcell and Bashar Altakrouri
IFIP EGOV 2021
Abstract
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
2021 IEEE International Conference on Cloud Computing
Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar
2021 IEEE International Conference on Cloud Computing
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
2021
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig
2021
The Design and Development of a Game to Study BackdoorPoisoning Attacks: The Backdoor Game
J Johnson, Qian Pan, Casey Dugan, Heiko Ludwig, Aabhas Sharma, Werner Geyer, Nathalie Baracaldo, Benjamin Hoover, Dustin Torres, Zahra Ashktorab
IUI 2021
J Johnson, Qian Pan, Casey Dugan, Heiko Ludwig, Aabhas Sharma, Werner Geyer, Nathalie Baracaldo, Benjamin Hoover, Dustin Torres, Zahra Ashktorab
IUI 2021
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
AAAI, 2021
Abstract
Syed Zawad, Ahsan Ali, Pin-Yu Chen, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Yuan Tian, Feng Yan
AAAI, 2021
Abstract
2020
Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning
Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig
2020
Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig
2020
Mitigating Bias in Federated Learning
Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig
2020
Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig
2020
IBM Federated Learning: an Enterprise Framework White Paper V0. 1
Ludwig, Heiko and Baracaldo, Nathalie and Thomas, Gegi and Zhou, Yi and Anwar, Ali and Rajamoni, Shashank and Ong, Yuya and Radhakrishnan, Jayaram and Verma, Ashish and Sinn, Mathieu and others
Technical Report, 2020
Ludwig, Heiko and Baracaldo, Nathalie and Thomas, Gegi and Zhou, Yi and Anwar, Ali and Rajamoni, Shashank and Ong, Yuya and Radhakrishnan, Jayaram and Verma, Ashish and Sinn, Mathieu and others
Technical Report, 2020
TiFL: A Tier-based Federated Learning System
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC), 2020
2019
"HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning"
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar and Heiko Ludwig
The 12th ACM Workshop on Artificial Intelligence and Security (AISec 2019).
Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar and Heiko Ludwig
The 12th ACM Workshop on Artificial Intelligence and Security (AISec 2019).
Towards Federated Graph Learning Platform for Anti-Money Laundering
Toyotaro Suzumura, Yi Zhou, Nathalie Baracaldo, Guangann Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, and Kumar Bhaskaran
NeurIPS FSS workshop. , 2019
Toyotaro Suzumura, Yi Zhou, Nathalie Baracaldo, Guangann Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Daniel Klyashtorny, Heiko Ludwig, and Kumar Bhaskaran
NeurIPS FSS workshop. , 2019
Privacy-Preserving Process Mining
Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, Judith Michael
Business \& Information Systems Engineering, 2019
Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, Judith Michael
Business \& Information Systems Engineering, 2019
Confidentiality of Data in the Cloud
N Baracaldo, J Glider
Security, Privacy, and Digital Forensics in the Cloud, John Wiley & Sons, 2019
N Baracaldo, J Glider
Security, Privacy, and Digital Forensics in the Cloud, John Wiley & Sons, 2019
A Hybrid Approach to Privacy-Preserving Federated Learning (Best paper award)
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Thomas Steinke, Rui Zhang, Yi Zhou
AISec 2019 workshop collocated with CCS
Stacey Truex, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Thomas Steinke, Rui Zhang, Yi Zhou
AISec 2019 workshop collocated with CCS
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering (Best paper award)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy and Biplav Srivastava
AAAI Collocated: The AAAI's Workshop on Artificial Intelligence Safety (SafeAI), 2019
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy and Biplav Srivastava
AAAI Collocated: The AAAI's Workshop on Artificial Intelligence Safety (SafeAI), 2019
2018
Game for Detecting Backdoor Attacks on Deep Neural Networks using Activation Clustering
Casey Dugan, Werner Geyer, Aabhas Sharma, Ingrid Lange, Dustin Ramsey Torres, Bryant Chen, Nathalie Baracaldo Angel, Heiko Ludwig
Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018
Abstract
Casey Dugan, Werner Geyer, Aabhas Sharma, Ingrid Lange, Dustin Ramsey Torres, Bryant Chen, Nathalie Baracaldo Angel, Heiko Ludwig
Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018
Abstract
Adversarial Robustness Toolbox v0.3.0
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Ian M. Molloy, Ben Edwards
2018
Maria-Irina Nicolae, Mathieu Sinn, Minh Ngoc Tran, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Ian M. Molloy, Ben Edwards
2018
Complex Collaborative Physical Process Management: A Position on the Trinity of BPM, IoT and DA
Paul Grefen, Heiko Ludwig, Samir Tata, Remco Dijkman, Nathalie Baracaldo, Anna Wilbik and Tim D'Hondt
Proceedings 19th IFIP/SOCOLNET Working Conference on Virtual Enterprises, Springer, 2018
Paul Grefen, Heiko Ludwig, Samir Tata, Remco Dijkman, Nathalie Baracaldo, Anna Wilbik and Tim D'Hondt
Proceedings 19th IFIP/SOCOLNET Working Conference on Virtual Enterprises, Springer, 2018
Detecting Poisoning Attacks on Machine Learning in IoT Environments (Best paper award)
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Amir Safavi, Rui Zhang
IEEE International Congress on Internet of Things (ICIOT), 2018
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Amir Safavi, Rui Zhang
IEEE International Congress on Internet of Things (ICIOT), 2018
2017
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi
CCS Collocated: Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, pp. 103--110, ACM, 2017
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi
CCS Collocated: Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, pp. 103--110, ACM, 2017
Detecting Causative Attacks using Data Provenance
Nathalie Baracaldo, Bryant Chen and Heiko Ludwig
ICML Workshop: Private and Secure Machine Learning 2017
Nathalie Baracaldo, Bryant Chen and Heiko Ludwig
ICML Workshop: Private and Secure Machine Learning 2017
rSLA: An Approach for Managing Service Level Agreements in Cloud Environments
Mohamed, Mohamed and Anya, Obinna and Tata, Samir and Mandagere, Nagapramod and Baracaldo, Nathalie and Ludwig, Heiko
International Journal of Cooperative Information Systems, 1742003, World Scientific, 2017
Mohamed, Mohamed and Anya, Obinna and Tata, Samir and Mandagere, Nagapramod and Baracaldo, Nathalie and Ludwig, Heiko
International Journal of Cooperative Information Systems, 1742003, World Scientific, 2017
Securing Data Provenance in Internet of Things (IoT) Systems
Baracaldo, Angel and Engel, Robert and Tata, Samir and Ludwig, Heiko
Service-Oriented Computing--ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10--13, 2016, Revised Selected Papers, pp. 92, 2017
Baracaldo, Angel and Engel, Robert and Tata, Samir and Ludwig, Heiko
Service-Oriented Computing--ICSOC 2016 Workshops: ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10--13, 2016, Revised Selected Papers, pp. 92, 2017
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach
Baracaldo, Nathalie and Chen, Bryant and Ludwig, Heiko and Safavi, Jaehoon Amir
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, pp. 103--110, 2017
Baracaldo, Nathalie and Chen, Bryant and Ludwig, Heiko and Safavi, Jaehoon Amir
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, pp. 103--110, 2017
G-SIR: An Insider Attack Resilient Geo-Social Access Control Framework
Nathalie Baracaldo, Balaji Palanisamy, James Joshi
IEEE Transactions on Dependable and Secure Computing, IEEE, 2017
Nathalie Baracaldo, Balaji Palanisamy, James Joshi
IEEE Transactions on Dependable and Secure Computing, IEEE, 2017
2016
Tackling Insider Threats Using Risk-And-Trust Aware Access Control Approaches
Nathalie Baracaldo
Doctoral dissertation, University of Pittsburgh, 2016
Nathalie Baracaldo
Doctoral dissertation, University of Pittsburgh, 2016
Managing Service Quality at the Platform and Application Levels with rSLa
Samir Tata, Mohamed Mohamed, Obinna Anya, Takashi Sakairi, Nagapramod Mandagere, Heiko Ludwig, Nathalie Baracaldo
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2016 IEEE 25th International Conference on, IEEE
Samir Tata, Mohamed Mohamed, Obinna Anya, Takashi Sakairi, Nagapramod Mandagere, Heiko Ludwig, Nathalie Baracaldo
Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), 2016 IEEE 25th International Conference on, IEEE
2014
Reconciling End-to-End Confidentiality and Data Reduction In Cloud Storage
Nathalie Baracaldo, Elli Androulaki, Joseph Glider, Alessandro Sorniotti
Proceedings of the 6th Edition of the ACM Workshop on Cloud Computing Security, pp. 21--32, ACM, 2014
Nathalie Baracaldo, Elli Androulaki, Joseph Glider, Alessandro Sorniotti
Proceedings of the 6th Edition of the ACM Workshop on Cloud Computing Security, pp. 21--32, ACM, 2014
Geo-Social-RBAC: A Location-based Socially Aware Access Control Framework
Nathalie Baracaldo, Balaji Palanisamy, James Joshi
Network and System Security: 8th International Conference, (NSS), pp. 501--509, Springer International Publishing, 2014
Nathalie Baracaldo, Balaji Palanisamy, James Joshi
Network and System Security: 8th International Conference, (NSS), pp. 501--509, Springer International Publishing, 2014
2013
Beyond Accountability: Using Obligations to Reduce Risk Exposure and Deter Insider Attacks
Nathalie Baracaldo, James Joshi
Proceedings of the 18th ACM Symposium on Access Control Models and Technologies (SACMAT), pp. 213--224, ACM, 2013
Nathalie Baracaldo, James Joshi
Proceedings of the 18th ACM Symposium on Access Control Models and Technologies (SACMAT), pp. 213--224, ACM, 2013
An adaptive risk management and access control framework to mitigate insider threats
Nathalie Baracaldo, James Joshi
Computers & Security , 237 - 254, 2013
Nathalie Baracaldo, James Joshi
Computers & Security , 237 - 254, 2013
2012
A Trust-and-risk Aware RBAC Framework: Tackling Insider Threat
Nathalie Baracaldo, James Joshi
Proceedings of the 17th ACM Symposium on Access Control Models and Technologies (SACMAT), pp. 167--176, ACM, 2012
Nathalie Baracaldo, James Joshi
Proceedings of the 17th ACM Symposium on Access Control Models and Technologies (SACMAT), pp. 167--176, ACM, 2012
2011
Simulating the effect of privacy concerns in online social networks
Nathalie Baracaldo, Claudia Lopez, Mohd Anwar, Michael Lewis
Information Reuse and Integration (IRI), 2011 IEEE International Conference on, pp. 519-524
Nathalie Baracaldo, Claudia Lopez, Mohd Anwar, Michael Lewis
Information Reuse and Integration (IRI), 2011 IEEE International Conference on, pp. 519-524
A secure, constraint-aware role-based access control interoperation framework
Nathalie Baracaldo, Amirreza Masoumzadeh, James Joshi
Network and System Security (NSS), 2011 5th International Conference on, pp. 200-207
Nathalie Baracaldo, Amirreza Masoumzadeh, James Joshi
Network and System Security (NSS), 2011 5th International Conference on, pp. 200-207