Nathalie Baracaldo

发表

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

Heiko Ludwig, Nathalie Baracaldo, Bryant Chen, 2017, AISec@CCS.

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

Runhua Xu, Heiko Ludwig, Nathalie Baracaldo, 2019, AISec@CCS.

Towards Taming the Resource and Data Heterogeneity in Federated Learning

Yi Zhou, Heiko Ludwig, Ali Anwar, 2019, OpML.

TACKLING INSIDER THREATS USING RISK-AND-TRUST AWARE ACCESS CONTROL APPROACHES

Nathalie Baracaldo, N. Baracaldo, 2016 .

Adversarial Robustness Toolbox v1.0.0

Martin Wistuba, Ian Molloy, Nathalie Baracaldo, 2018, 1807.01069.

Confidentiality of Data in the Cloud

Joseph S. Glider, Nathalie Baracaldo, Nathalie Baracaldo, 2019, Security, Privacy, and Digital Forensics in the Cloud.

Accountable Federated Machine Learning in Government: Engineering and Management Insights

Heiko Ludwig, Ulrich Schöpp, Ali Anwar, 2021, ePart.

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

Nathalie Baracaldo, S. Kadhe, Ambrish Rawat, 2022, 2207.05521.

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

Nathalie Baracaldo, S. Kadhe, Ambrish Rawat, 2022, ArXiv.

HybridAlpha

Heiko Ludwig, Ali Anwar, Nathalie Baracaldo, 2019, Security and Artificial Intelligence.

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

Heiko Ludwig, Yi Zhou, Laura Wynter, 2020, ArXiv.

TiFL: A Tier-based Federated Learning System

Heiko Ludwig, Yi Zhou, Ahsan Ali, 2020, HPDC.

A Hybrid Approach to Privacy-Preserving Federated Learning

Rui Zhang, Thomas Steinke, Heiko Ludwig, 2018, Informatik Spektrum.

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

Nathalie Baracaldo, Runhua Xu, James Joshi, 2021, ArXiv.

Beyond accountability: using obligations to reduce risk exposure and deter insider attacks

James B. D. Joshi, Nathalie Baracaldo, J. Joshi, 2013, SACMAT '13.

Federated XGBoost on Sample-Wise Non-IID Data

Yuya Jeremy Ong, Nathalie Baracaldo, Yi Zhou, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Adversarial Robustness Toolbox v1.0.0

Martin Wistuba, Ian Molloy, Nathalie Baracaldo, 2018, 1807.01069.

Detecting Poisoning Attacks on Machine Learning in IoT Environments

Rui Zhang, Heiko Ludwig, Nathalie Baracaldo, 2018, 2018 IEEE International Congress on Internet of Things (ICIOT).

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

Paul W. P. J. Grefen, Anna Wilbik, Remco M. Dijkman, 2018, PRO-VE.

HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning

Nathalie Baracaldo, Heiko Ludwig, Runhua Xu, 2019, AISec@CCS.

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering pdf

Benjamin Edwards, Biplav Srivastava, Heiko Ludwig, 2018, SafeAI@AAAI.

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

Ali Anwar, Nathalie Baracaldo, Kamala Varma, 2021, 2021 IEEE 14th International Conference on Cloud Computing (CLOUD).

FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data

Nathalie Baracaldo, Heiko Ludwig, Runhua Xu, 2021, AISec@CCS.

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

Yuan Tian, Ali Anwar, Feng Yan, 2021, AAAI.

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

Paul W. P. J. Grefen, Anna Wilbik, Heiko Ludwig, 2019, IOT.

Federated Learning for Collaborative Financial Crimes Detection

Nathalie Baracaldo, Heiko Ludwig, T. Suzumura, 2022, Federated Learning.

Securing Data Provenance in Internet of Things (IoT) Systems

Samir Tata, Heiko Ludwig, Luis Angel D. Bathen, 2016, ICSOC Workshops.

Benchmarking the Effect of Poisoning Defenses on the Security and Bias of the Final Model

Kevin Eykholt, Sridevi Polavaram, Nathalie Baracaldo, 2022 .

Privacy-Preserving Process Mining

Matthias Weidlich, Agnes Koschmider, Nathalie Baracaldo, 2019, Business & Information Systems Engineering.

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

Parikshit Ram, Heiko Ludwig, Horst Samulowitz, 2021, ArXiv.

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

Alessandro Sorniotti, Joseph S. Glider, Elli Androulaki, 2014, CCSW.

Mitigating Bias in Federated Learning pdf

Heiko Ludwig, Yi Zhou, Nathalie Baracaldo, 2020, ArXiv.