Nathalie Baracaldo

According to our database, Nathalie Baracaldo authored at least 67 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Rethinking Machine Unlearning for Large Language Models.

Sijia Liu, Yuanshun Yao, Jinghan Jia, Stephen Casper, Nathalie Baracaldo, Peter Hase, Xiaojun Xu, Yuguang Yao, Hang Li, Kush R. Varshney, Mohit Bansal, Sanmi Koyejo, Yang Liu

CoRR, 2024

Enhancing In-context Learning via Linear Probe Calibration.

Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen

CoRR, 2024

2023

FairSISA: Ensemble Post-Processing to Improve Fairness of Unlearning in LLMs.

Swanand Ravindra Kadhe, Anisa Halimi, Ambrish Rawat, Nathalie Baracaldo

CoRR, 2023

Forcing Generative Models to Degenerate Ones: The Power of Data Poisoning Attacks.

Shuli Jiang, Swanand Ravindra Kadhe, Yi Zhou, Ling Cai, Nathalie Baracaldo

CoRR, 2023

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection.

Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu

CoRR, 2023

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of Deep Learning Models.

Nathalie Baracaldo, Farhan Ahmed, Kevin Eykholt, Yi Zhou, Shriti Priya, Taesung Lee, Swanand Kadhe, Mike Tan, Sridevi Polavaram, Sterling Suggs, Yuyang Gao, David Slater

Proceedings of the 2023 IEEE Security and Privacy Workshops (SPW), 2023

LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning.

Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson

Proceedings of the International Conference on Machine Learning, 2023

Single-shot General Hyper-parameter Optimization for Federated Learning.

Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

Proceedings of the Eleventh International Conference on Learning Representations, 2023

HDFL: A Heterogeneity and Client Dropout-Aware Federated Learning Framework.

Syed Zawad, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Feng Yan

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023

2022

Machine Learning Security and Privacy.

Nathalie Baracaldo, Alina Oprea

IEEE Secur. Priv., 2022

Federated XGBoost on Sample-Wise Non-IID Data.

Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo

CoRR, 2022

Federated Unlearning: How to Efficiently Erase a Client in FL?

Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo

CoRR, 2022

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems.

Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt

CoRR, 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 Schöpp, Matthias Buchinger

CoRR, 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

CoRR, 2022

Keynote Talk - Federated Learning: The Hype, State-of-the-Art and Open Challenges.

Nathalie Baracaldo

Proceedings of the SACMAT '22: The 27th ACM Symposium on Access Control Models and Technologies, New York, NY, USA, June 8, 2022

The 1st International Workshop on Federated Learning with Graph Data (FedGraph).

Carl Yang, Xiaoxiao Li, Nathalie Baracaldo, Neil Shah, Chaoyang He, Lingjuan Lyu, Lichao Sun, Salman Avestimehr

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Heterogeneity-Aware Adaptive Federated Learning Scheduling.

Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt

Proceedings of the IEEE International Conference on Big Data, 2022

DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting.

Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Swanand Kadhe, Heiko Ludwig

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

TIFF: Tokenized Incentive for Federated Learning.

Jingoo Han, Ahmad Faraz Khan, Syed Zawad, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Feng Yan, Ali Raza Butt

Proceedings of the IEEE 15th International Conference on Cloud Computing, 2022

Privacy-Preserving Vertical Federated Learning.

Runhua Xu, Nathalie Baracaldo, Yi Zhou, Annie Abay, Ali Anwar

Proceedings of the Federated Learning, 2022

Federated Learning for Collaborative Financial Crimes Detection.

Toyotaro Suzumura, Yi Zhou, Ryo Kawahara, Nathalie Baracaldo, Heiko Ludwig

Proceedings of the Federated Learning, 2022

Tree-Based Models for Federated Learning Systems.

Yuya Jeremy Ong, Nathalie Baracaldo, Yi Zhou

Proceedings of the Federated Learning, 2022

Introduction to Federated Learning.

Heiko Ludwig, Nathalie Baracaldo

Proceedings of the Federated Learning, 2022

Protecting Against Data Leakage in Federated Learning: What Approach Should You Choose?

Nathalie Baracaldo, Runhua Xu

Proceedings of the Federated Learning, 2022

Federated Learning and Fairness.

Annie Abay, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig

Proceedings of the Federated Learning, 2022

Dealing with Byzantine Threats to Neural Networks.

Yi Zhou, Nathalie Baracaldo, Ali Anwar, Kamala Varma

Proceedings of the Federated Learning, 2022

2021

FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning.

Yi Zhou, Parikshit Ram, Theodoros Salonidis, Nathalie Baracaldo, Horst Samulowitz, Heiko Ludwig

CoRR, 2021

Privacy-Preserving Machine Learning: Methods, Challenges and Directions.

Runhua Xu, Nathalie Baracaldo, James Joshi

CoRR, 2021

Conference Tutorial: Can federated learning solve our data privacy problems? State of the art and open challenges.

Nathalie Baracaldo

Proceedings of the 3rd IEEE International Conference on Trust, 2021

The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game.

Zahra Ashktorab, Casey Dugan, James Johnson, Aabhas Sharma, Dustin Ramsey Torres, Ingrid Lange, Benjamin Hoover, Heiko Ludwig, Bryant Chen, Nathalie Baracaldo, Werner Geyer, Qian Pan

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Accountable Federated Machine Learning in Government: Engineering and Management Insights.

Dian Balta, Mahdi Sellami, Peter Kuhn, Ulrich Schöpp, Matthias Buchinger, Nathalie Baracaldo, Ali Anwar, Heiko Ludwig, Mathieu Sinn, Mark Purcell, Bashar Altakrouri

Proceedings of the Electronic Participation - 13th IFIP WG 8.5 International Conference, 2021

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data.

Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, James Joshi, Heiko Ludwig

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning.

Kamala Varma, Yi Zhou, Nathalie Baracaldo, Ali Anwar

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2020

Towards Privacy Preservation and Data Protection in Information System Design. An introduction to the special issue.

Agnes Koschmider, Judith Michael, Nathalie Baracaldo

Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model., 2020

Adaptive Histogram-Based Gradient Boosted Trees for Federated Learning.

Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig

CoRR, 2020

Mitigating Bias in Federated Learning.

Annie Abay, Yi Zhou, Nathalie Baracaldo, Shashank Rajamoni, Ebube Chuba, Heiko Ludwig

CoRR, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.

Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay

CoRR, 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

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

2019

G-SIR: An Insider Attack Resilient Geo-Social Access Control Framework.

Nathalie Baracaldo, Balaji Palanisamy, James Joshi

IEEE Trans. Dependable Secur. Comput., 2019

A Hybrid Approach to Privacy-Preserving Federated Learning - (Extended Abstract).

Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou

Inform. Spektrum, 2019

User Centered and Privacy-Driven Process Mining System Design - (Extended Abstract).

Judith Michael, Agnes Koschmider, Felix Mannhardt, Nathalie Baracaldo, Bernhard Rumpe

Inform. Spektrum, 2019

Privacy-preserving Process Mining: Differential - Privacy for Event Logs (Extended Abstract).

Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, Judith Michael

Inform. Spektrum, 2019

Privacy-Preserving Process Mining - Differential Privacy for Event Logs.

Felix Mannhardt, Agnes Koschmider, Nathalie Baracaldo, Matthias Weidlich, Judith Michael

Bus. Inf. Syst. Eng., 2019

Towards Taming the Resource and Data Heterogeneity in Federated Learning.

Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Using BPM Technology to Deploy and Manage Distributed Analytics in Collaborative IoT-Driven Business Scenarios.

Tim D'Hondt, Anna Wilbik, Paul Grefen, Heiko Ludwig, Nathalie Baracaldo, Ali Anwar

Proceedings of the 9th International Conference on the Internet of Things, 2019

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning.

Runhua Xu, Nathalie Baracaldo, Yi Zhou, Ali Anwar, Heiko Ludwig

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

A Hybrid Approach to Privacy-Preserving Federated Learning.

Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang, Yi Zhou

Proceedings of the 12th ACM Workshop on Artificial Intelligence and Security, 2019

User-Centered and Privacy-Driven Process Mining System Design for IoT.

Judith Michael, Agnes Koschmider, Felix Mannhardt, Nathalie Baracaldo, Bernhard Rumpe

Proceedings of the Information Systems Engineering in Responsible Information Systems, 2019

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

A Hybrid Approach to Privacy-Preserving Federated Learning.

Stacey Truex, Nathalie Baracaldo, Ali Anwar, Thomas Steinke, Heiko Ludwig, Rui Zhang

CoRR, 2018

Complex Collaborative Physical Process Management: A Position on the Trinity of BPM, IoT and DA.

Paul Grefen, Heiko Ludwig, Samir Tata, Remco M. Dijkman, Nathalie Baracaldo, Anna Wilbik, Tim D'Hondt

Proceedings of the Collaborative Networks of Cognitive Systems, 2018

Detecting Poisoning Attacks on Machine Learning in IoT Environments.

Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi, Rui Zhang

Proceedings of the 2018 IEEE International Congress on Internet of Things, 2018

2017

rSLA: An Approach for Managing Service Level Agreements in Cloud Environments.

Mohamed Mohamed, Obinna Anya, Samir Tata, NagaPramod Mandagere, Nathalie Baracaldo, Heiko Ludwig

Int. J. Cooperative Inf. Syst., 2017

Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach.

Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

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

Proceedings of the 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, 2016

Data Provenance Model for Internet of Things (IoT) Systems.

Habeeb Olufowobi, Robert Engel, Nathalie Baracaldo, Luis Angel D. Bathen, Samir Tata, Heiko Ludwig

Proceedings of the Service-Oriented Computing - ICSOC 2016 Workshops, 2016

Securing Data Provenance in Internet of Things (IoT) Systems.

Nathalie Baracaldo, Luis Angel D. Bathen, Roqeeb O. Ozugha, Robert Engel, Samir Tata, Heiko Ludwig

Proceedings of the Service-Oriented Computing - ICSOC 2016 Workshops, 2016

2014

Geo-Social-RBAC: A Location-Based Socially Aware Access Control Framework.

Nathalie Baracaldo, Balaji Palanisamy, James B. D. Joshi

Proceedings of the Network and System Security - 8th International Conference, 2014

IEEE IRI 2014 invited industry talks (I): Managing shared information in multi-tenant service provider applications.

Heiko Ludwig, Nathalie Baracaldo, Nish Parikh, Tanvir Ahmed, Rajesh Subramanyan

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 2014

Reconciling End-to-End Confidentiality and Data Reduction In Cloud Storage.

Nathalie Baracaldo, Elli Androulaki, Joseph S. Glider, Alessandro Sorniotti

Proceedings of the 6th edition of the ACM Workshop on Cloud Computing Security, 2014

2013

An adaptive risk management and access control framework to mitigate insider threats.

Nathalie Baracaldo, James Joshi

Comput. Secur., 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, 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, 2012

2011

A secure, constraint-aware role-based access control interoperation framework.

Nathalie Baracaldo, Amirreza Masoumzadeh, James Joshi

Proceedings of the 5th International Conference on Network and System Security, 2011

Simulating the effect of privacy concerns in online social networks.

Nathalie Baracaldo, Claudia A. López, Mohd Anwar, Michael Lewis

Proceedings of the IEEE International Conference on Information Reuse and Integration, 2011