114 citations · 356 across the 19 of their papers we have counts for
8 papers · 1 filter
CLOAK: Contrastive Guidance for Latent Diffusion-Based Data Obfuscation
Xin Yang, Omid Ardakanian
Data obfuscation is a promising technique for mitigating attribute inference attacks by semi-trusted parties with access to time-series data emitted by sensors. Recent advances lev…
Budgeted Indirect Adversarial Attack on Graph-Based Anomaly Detection in Sensor Networks
Sanju Xaviar, Omid Ardakanian
Graph Neural Networks (GNNs) have emerged as powerful models for anomaly detection in sensor networks, particularly when analyzing multivariate time series. In this work, we introd…
Forecasting Multivariate Urban Data via Decomposition and Spatio-Temporal Graph Analysis
Amirhossein Sohrabbeig, Omid Ardakanian, Petr Musilek
Long-term forecasting of multivariate urban data poses a significant challenge due to the complex spatiotemporal dependencies inherent in such datasets. This paper presents DST, a…
Grey-box Bayesian Optimization for Sensor Placement in Assisted Living Environments
Shadan Golestan, Omid Ardakanian, Pierre Boulanger
Optimizing the configuration and placement of sensors is crucial for reliable fall detection, indoor localization, and activity recognition in assisted living spaces. We propose a…
Robust Multimodal Fusion for Human Activity Recognition
Sanju Xaviar, Xin Yang, Omid Ardakanian
The proliferation of IoT and mobile devices equipped with heterogeneous sensors has enabled new applications that rely on the fusion of time-series data generated by multiple senso…
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning
Xin Yang, Omid Ardakanian
This paper proposes a sensor data anonymization model that is trained on decentralized data and strikes a desirable trade-off between data utility and privacy, even in heterogeneou…
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach
Omid Hajihassani, Omid Ardakanian, Hamzeh Khazaei
The abundance of data collected by sensors in Internet of Things (IoT) devices, and the success of deep neural networks in uncovering hidden patterns in time series data have led t…
On Identification of Distribution Grids
Omid Ardakanian, Vincent W. S. Wong, Roel Dobbe +4
Large-scale integration of distributed energy resources into residential distribution feeders necessitates careful control of their operation through power flow analysis. While the…