research
∙
09/11/2023
Effective Abnormal Activity Detection on Multivariate Time Series Healthcare Data
Multivariate time series (MTS) data collected from multiple sensors prov...
share
research
∙
08/29/2023
Understanding the Privacy Risks of Popular Search Engine Advertising Systems
We present the first extensive measurement of the privacy properties of ...
research
∙
06/22/2023
GT-TSCH: Game-Theoretic Distributed TSCH Scheduler for Low-Power IoT Networks
Time-Slotted Channel Hopping (TSCH) is a synchronous medium access mode ...
research
∙
06/07/2023
A Study on the Reliability of Automatic Dysarthric Speech Assessments
Automating dysarthria assessments offers the opportunity to develop effe...
research
∙
06/02/2023
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal
Despite impressive empirical advances of SSL in solving various tasks, t...
research
∙
05/30/2023
Towards Machine Learning and Inference for Resource-constrained MCUs
Machine learning (ML) is moving towards edge devices. However, ML models...
research
∙
05/09/2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications
Federated learning involves training statistical models over edge device...
research
∙
04/14/2023
Federated and distributed learning applications for electronic health records and structured medical data: A scoping review
Federated learning (FL) has gained popularity in clinical research in re...
research
∙
04/10/2023
Analysing Fairness of Privacy-Utility Mobility Models
Preserving the individuals' privacy in sharing spatial-temporal datasets...
research
∙
04/06/2023
Protected or Porous: A Comparative Analysis of Threat Detection Capability of IoT Safeguards
Consumer Internet of Things (IoT) devices are increasingly common, from ...
research
∙
02/22/2023
Information Theory Inspired Pattern Analysis for Time-series Data
Current methods for pattern analysis in time series mainly rely on stati...
research
∙
12/27/2022
PRISM: Privacy Preserving Internet of Things Security Management
Consumer healthcare applications are gaining increasing popularity in ou...
research
∙
10/10/2022
Tango or Square Dance? How Tightly Should we Integrate Network Functionality in Browsers?
The question at which layer network functionality is presented or abstra...
research
∙
10/04/2022
Using Entropy Measures for Monitoring the Evolution of Activity Patterns
In this work, we apply information theory inspired methods to quantify c...
research
∙
08/22/2022
SoK: Machine Learning with Confidential Computing
Privacy and security challenges in Machine Learning (ML) have become a c...
research
∙
08/09/2022
Privacy-Aware Adversarial Network in Human Mobility Prediction
As mobile devices and location-based services are increasingly developed...
research
∙
07/10/2022
FIB: A Method for Evaluation of Feature Impact Balance in Multi-Dimensional Data
Errors might not have the same consequences depending on the task at han...
research
∙
05/27/2022
Locally Authenticated Privacy-preserving Voice Input
Increasing use of our biometrics (e.g., fingerprints, faces, or voices) ...
research
∙
03/07/2022
Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites
A core problem in the development and maintenance of crowd-sourced filte...
research
∙
02/16/2022
Towards Battery-Free Machine Learning and Inference in Underwater Environments
This paper is motivated by a simple question: Can we design and build ba...
research
∙
01/29/2022
BatteryLab: A Collaborative Platform for Power Monitoring
Advances in cloud computing have simplified the way that both software d...
research
∙
01/19/2022
Privacy-Aware Human Mobility Prediction via Adversarial Networks
As various mobile devices and location-based services are increasingly d...
research
∙
12/13/2021
Proof of Steak
We introduce Proof-of-Steak (PoS) as a fundamental net-zero block genera...
research
∙
12/12/2021
Pool-Party: Exploiting Browser Resource Pools as Side-Channels for Web Tracking
We identify a new class of side-channels in browsers that are not mitiga...
research
∙
10/26/2021
Rapid IoT Device Identification at the Edge
Consumer Internet of Things (IoT) devices are increasingly common in eve...
research
∙
09/10/2021
Multimodal Federated Learning
Federated learning is proposed as an alternative to centralized machine ...
research
∙
07/21/2021
A Tandem Framework Balancing Privacy and Security for Voice User Interfaces
Speech synthesis, voice cloning, and voice conversion techniques present...
research
∙
05/28/2021
Quantifying Information Leakage from Gradients
Sharing deep neural networks' gradients instead of training data could f...
research
∙
05/11/2021
Blocking without Breaking: Identification and Mitigation of Non-Essential IoT Traffic
Despite the prevalence of Internet of Things (IoT) devices, there is lit...
research
∙
05/09/2021
Stronger Privacy for Federated Collaborative Filtering with Implicit Feedback
Recommender systems are commonly trained on centrally collected user int...
research
∙
04/29/2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments
We propose and implement a Privacy-preserving Federated Learning (PPFL) ...
research
∙
04/01/2021
Configurable Privacy-Preserving Automatic Speech Recognition
Voice assistive technologies have given rise to far-reaching privacy and...
research
∙
01/01/2021
MoSen: Activity Modelling in Multiple-Occupancy Smart Homes
Smart home solutions increasingly rely on a variety of sensors for behav...
research
∙
11/17/2020
The Case for Retraining of ML Models for IoT Device Identification at the Edge
Internet-of-Things (IoT) devices are known to be the source of many secu...
research
∙
11/04/2020
Paralinguistic Privacy Protection at the Edge
Voice user interfaces and digital assistants are rapidly entering our ho...
research
∙
11/02/2020
Semi-supervised Federated Learning for Activity Recognition
The proliferation of IoT sensors and edge devices makes it possible to u...
research
∙
10/17/2020
Layer-wise Characterization of Latent Information Leakage in Federated Learning
Training a deep neural network (DNN) via federated learning allows parti...
research
∙
09/04/2020
Running Neural Networks on the NIC
In this paper we show that the data plane of commodity programmable (Net...
research
∙
09/03/2020
A Haystack Full of Needles: Scalable Detection of IoT Devices in the Wild
Consumer Internet of Things (IoT) devices are extremely popular, providi...
research
∙
08/05/2020
DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data
Current deep neural architectures for processing sensor data are mainly ...
research
∙
07/29/2020
Privacy-preserving Voice Analysis via Disentangled Representations
Voice User Interfaces (VUIs) are increasingly popular and built into sma...
research
∙
04/12/2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments
We present DarkneTZ, a framework that uses an edge device's Trusted Exec...
research
∙
04/12/2020
PrivEdge: From Local to Distributed Private Training and Prediction
Machine Learning as a Service (MLaaS) operators provide model training a...
research
∙
03/16/2020
Towards Automatic Identification and Blocking of Non-Critical IoT Traffic Destinations
The consumer Internet of Things (IoT) space has experienced a significan...
research
∙
03/14/2020
Decentralized Policy-Based Private Analytics
We are increasingly surrounded by applications, connected devices, servi...
research
∙
11/14/2019
Privacy and Utility Preserving Sensor-Data Transformations
Sensitive inferences and user re-identification are major threats to pri...
research
∙
10/20/2019
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices
Recent advances in cloud computing have simplified the way that both sof...
research
∙
09/18/2019
Emotion Filtering at the Edge
Voice controlled devices and services have become very popular in the co...
research
∙
09/10/2019
Privacy-Preserving Bandits
Contextual bandit algorithms (CBAs) often rely on personal data to provi...
research
∙
08/09/2019
