Differentially private latent diffusion models
Privacy-Preserving Location-Based Advertising via Longitudinal Geo-Indistinguishability
L Yu, S Zhang, Y Meng, S Du, Y Chen… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
As location data have been increasingly adopted in location-based advertising (LBA),
revealing locations to untrusted service providers has raised severe privacy concerns …
revealing locations to untrusted service providers has raised severe privacy concerns …
[HTML][HTML] Synthetic and privacy-preserving traffic trace generation using generative AI models for training Network Intrusion Detection Systems
Abstract Network Intrusion Detection Systems (NIDS) are crucial tools for protecting
networked devices from cyberattacks. Recent development in the field of Artificial …
networked devices from cyberattacks. Recent development in the field of Artificial …
Privacy-preserving data release leveraging optimal transport and particle gradient descent
We present a novel approach for differentially private data synthesis of protected tabular
datasets, a relevant task in highly sensitive domains such as healthcare and government …
datasets, a relevant task in highly sensitive domains such as healthcare and government …
Synthetic and privacy-preserving traffic trace generation using generative ai models for training network intrusion detection systems
Abstract Network Intrusion Detection Systems (NIDS) are crucial tools for protecting
networked devices from cyberattacks. Recent development in the field of Artificial …
networked devices from cyberattacks. Recent development in the field of Artificial …
State-of-the-Art Review of Life Insurtech: Machine learning for underwriting decisions and a Shift Toward Data-Driven, Society-oriented Environment
Machine learning has been used by insurance companies for nearly a decade to identify
potential risks and improve underwriting decisions. Nonetheless, there is a lack of …
potential risks and improve underwriting decisions. Nonetheless, there is a lack of …
CareFL: Contribution Guided Byzantine-Robust Federated Learning
Byzantine-robust federated learning (FL) endeavors to empower service providers in
acquiring a precise global model, even in the presence of potentially malicious FL clients …
acquiring a precise global model, even in the presence of potentially malicious FL clients …
Edge-Protected Triangle Count Estimation under Relationship Local Differential Privacy
Triangle count estimation is a fundamental task in federated graph analysis. Yet, directly
collecting local counts from users exposes individuals to severe privacy risks, as the local …
collecting local counts from users exposes individuals to severe privacy risks, as the local …