ERD

PRIVIC: A privacy-preserving method for incremental collection of location data

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

(Local) Differential Privacy has NO Disparate Impact on Fairness

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Frequency Estimation of Evolving Data Under Local Differential Privacy

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Impact of sampling on locally differentially private data collection

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Obfuscation Padding Schemes that Minimize Rényi Min-Entropy for Privacy

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

On the Impact of Multi-dimensional Local Differential Privacy on Fairness

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

On the Risks of Collecting Multidimensional Data Under Local Differential Privacy

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Tight differential privacy blanket for shuff model

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Group Privacy for Personalized Federated Learning

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Leakage of Sensitive Data from Deep Neural Networks

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Exploring fairness and privacy in machine learning

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Local Methods for Privacy Protection and Impact on Fairness

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Bayes Security: A Not So Average Metric

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

On the Application and Impact of differential privacy and Fairness in Ambulance Engagement Time Prediction

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Periodic Reporting for period 3 - HYPATIA (Privacy and Utility Allied)

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Identifiability of Causal-based ML Fairness Notions

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Analyzing the Shuffle Model Through the Lens of Quantitative Information Flow

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Causal Discovery for Fairness

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

On the duality of privacy and fairness

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Bounding information leakage in machine learning

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Membership Inference Attacks via Adversarial Examples

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Towards Securing Machine Learning Algorithms

Project: HYPATIA

Updated at: 01-01-2025

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Project acronym HYPATIA

Gender and sex bias in COVID-19 epidemiological data through the lens of causality

Project: HYPATIA

Updated at: 29-07-2024

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Project acronym HYPATIA

Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond

Project: HYPATIA

Updated at: 29-07-2024

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Project acronym HYPATIA

Understanding and optimizing the trade-off between privacy and utility from a foundational perspective

Project: HYPATIA

Updated at: 29-07-2024

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Project acronym HYPATIA

Derivation of Constraints from Machine Learning Models and Applications to Security and Privacy

Project: HYPATIA

Updated at: 29-07-2024

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Project acronym HYPATIA

Resources

Selected filters:

PRIVIC: A privacy-preserving method for incremental collection of location data

(Local) Differential Privacy has NO Disparate Impact on Fairness

Frequency Estimation of Evolving Data Under Local Differential Privacy

Impact of sampling on locally differentially private data collection

Obfuscation Padding Schemes that Minimize Rényi Min-Entropy for Privacy

BaBE: Enhancing Fairness via Estimation of Latent Explaining Variables

On the Impact of Multi-dimensional Local Differential Privacy on Fairness

On the Risks of Collecting Multidimensional Data Under Local Differential Privacy

Tight differential privacy blanket for shuff model

Group Privacy for Personalized Federated Learning

Leakage of Sensitive Data from Deep Neural Networks

Exploring fairness and privacy in machine learning

Advancing Ethical AI: Methods for fairness enhancement leveraging on causality and under privacy constraints

MEAD: A Multi-Armed Approach for Evaluation of Adversarial Examples Detectors

Local Methods for Privacy Protection and Impact on Fairness

Bayes Security: A Not So Average Metric

On the Application and Impact of differential privacy and Fairness in Ambulance Engagement Time Prediction

Periodic Reporting for period 3 - HYPATIA (Privacy and Utility Allied)

Identifiability of Causal-based ML Fairness Notions

Analyzing the Shuffle Model Through the Lens of Quantitative Information Flow

Causal Discovery for Fairness

On the Utility Gain of Iterative Bayesian Update for Locally Differentially Private Mechanisms

On the duality of privacy and fairness

Bounding information leakage in machine learning

Membership Inference Attacks via Adversarial Examples

Towards Securing Machine Learning Algorithms

Gender and sex bias in COVID-19 epidemiological data through the lens of causality

Advancing Personalized Federated Learning: Group Privacy, Fairness, and Beyond

Understanding and optimizing the trade-off between privacy and utility from a foundational perspective

Derivation of Constraints from Machine Learning Models and Applications to Security and Privacy