research
∙
08/18/2023
Attesting Distributional Properties of Training Data for Machine Learning
The success of machine learning (ML) has been accompanied by increased c...
share
research
∙
06/01/2023
ExTRUST: Reducing Exploit Stockpiles with a Privacy-Preserving Depletion System for Inter-State Relationships
Cyberspace is a fragile construct threatened by malicious cyber operatio...
research
∙
04/21/2022
SPIKE: Secure and Private Investigation of the Kidney Exchange problem
Background: The kidney exchange problem (KEP) addresses the matching of ...
research
∙
06/08/2021
LaserShark: Establishing Fast, Bidirectional Communication into Air-Gapped Systems
Physical isolation, so called air-gapping, is an effective method for pr...
research
∙
01/06/2021
FLGUARD: Secure and Private Federated Learning
Recently, a number of backdoor attacks against Federated Learning (FL) h...
research
∙
11/19/2020
Conservative Extensions in Horn Description Logics with Inverse Roles
We investigate the decidability and computational complexity of conserva...
research
∙
08/10/2020
Trustworthy AI Inference Systems: An Industry Research View
In this work, we provide an industry research view for approaching the d...
research
∙
07/05/2020
Offline Model Guard: Secure and Private ML on Mobile Devices
Performing machine learning tasks in mobile applications yields a challe...
research
∙
02/03/2020
CryptoSPN: Privacy-preserving Sum-Product Network Inference
AI algorithms, and machine learning (ML) techniques in particular, are i...
research
∙
07/08/2019
Privacy-Preserving Speaker Recognition with Cohort Score Normalisation
In many voice biometrics applications there is a requirement to preserve...
research
∙
06/11/2019
A Comment on Privacy-Preserving Scalar Product Protocols as proposed in "SPOC"
Privacy-preserving scalar product (PPSP) protocols are an important buil...
research
∙
04/01/2019
Experimental Comparison of Visual-Aided Odometry Methods for Rail Vehicles
Today, rail vehicle localization is based on infrastructure-side Balises...
research
∙
01/22/2019
Observability-aware Self-Calibration of Visual and Inertial Sensors for Ego-Motion Estimation
External effects such as shocks and temperature variations affect the ca...
research
∙
07/12/2018
Faster than Nyquist Transmission by Non-Orthogonal Time Division Multiplexing of Nyquist Sinc Sequences
One possibility to break down the capacity limit in optical transmission...
research
∙
05/28/2018
Long-term Large-scale Mapping and Localization Using maplab
This paper discusses a large-scale and long-term mapping and localizatio...
research
∙
03/26/2018
Visual-Inertial Teach and Repeat for Aerial Inspection
Industrial facilities often require periodic visual inspections of key i...
research
∙
01/10/2018
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications
We present Chameleon, a novel hybrid (mixed-protocol) framework for secu...
research
∙
11/28/2017
maplab: An Open Framework for Research in Visual-inertial Mapping and Localization
Robust and accurate visual-inertial estimation is crucial to many of tod...
research
∙
05/31/2013
Algebraic Properties of Qualitative Spatio-Temporal Calculi
Qualitative spatial and temporal reasoning is based on so-called qualita...
research
∙
07/06/2012
