CISPA researchers test new method for uncertainty quantification in ...
CISPA researchers test new method for uncertainty quantification in ...
CISPA researcher Soroush H. Zargarbashi and his colleagues have successfully tested a new method to define a set of possible predictions for these networks.
News Archive - CISPA Helmholtz Center for Information Security
Research. CISPA researchers test new method for uncertainty quantification in machine learning applications. CISPA researcher Soroush H. Zargarbashi and his ...
CISPA researchers test new method for uncertainty quantification in machine learning applications. Discover more about the "Tamarin Prover". CISPA researchers ...
Testing a new technique to safeguard against deepfakes. 62 On the ... New method for uncertainty quantification in machine learning applications.
Launch of "CISPA Display 2023": CISPA publishes its first research ...
New security vulnerabilities in processors ... methods for uncertainty quantification of machine learning applications are also discussed.
Information & Data Science Pilot Projects - Helmholtz
The goal of the Uncertainty Quantification project is to understand this through methods of probability theory and to incorporate it into research and ...
Zhikun Zhang - CISPA Helmholtz Center for Information Security
CISPA Helmholtz Center for Information Security - Research Group Leader · Experience: CISPA Helmholtz Center for Information Security · Education: Zhejiang ...
CS 2: Lessons Learned for Study of Uncertainty Quantification in ...
research interests include cyber resilience metrics, efficient system model development, data analysis ... New York Times Podcasts New 68K views.
Research Group Mario Fritz at CISPA
... uncertainty. In this proposal, we develop a platform that integrates data streams ... For their analysis, a variety of methods from machine learning to ...
TMLR Editorial Board - Transactions on Machine Learning Research
Adam Arany, KU Leuven. Causality time series, bayesian methods uncertainty quantification, odes neural ode. ... Domain adaptation robustness test-time ...
UQ Methods for HPDA and Cybersecurity Models, Data, and Use ...
this research will be new uncertainty quantification (UQ) methods to help: ... We will use this data to build and test UQ methods within state-space models for ...
Sahar Abdelnabi - AI Security Researcher - Microsoft | LinkedIn
Previously, I was a PhD candidate at CISPA Helmholtz Center for Information Security. I am interested in the broad intersection of machine learning with ...
Research Scholar Program recipients
Distribution-free uncertainty quantification for structured data. Grant M ... Artificial Intelligence Analysis of Surgical Technique in the Operating Room ...
Helmholtz Hosts - Helmholtz Information & Data Science Academy
Please note: You have to contact your potential host supervisor by email in order to propose and discuss a possible research project before submitting your ...
Adversarial Vulnerability Bounds for Gaussian Process Classification
[email protected] & backes@cispa ... new test point at x∗. Modern methods now exist ... Second, GPs offer robust uncertainty quantification, allowing ...
Mario Fritz – CISPA Helmholtz Center for Information Security
Leading scientist at new Helmholtz Medical Security and Privacy Research Center ... Ask Your Neurons Again: Analysis of Deep Methods with Global Image ...
The Peril of Popular Deep Learning Uncertainty Estimation Methods ...
... quantification of estimation uncertainty, 2. characterisation of chla estimation uncertainty. The results of this study show that estimation uncertainty ...
Funded Projects and Collaborations
FUNDED PROJECTS. Part of CISPA's research is covered by third-party funding. Our researchers recruit these funds in competitive procedures - alone or in ...
ICML | Department of Computer Science, Columbia University
They join the machine learning research community in Vienna, Austria, on July 21 – 27, 2024. ICML brings together the brightest minds in the field to share ...
Domain Generalisation via Imprecise Learning - OpenReview
Prior research has addressed generalisation uncertainty in- ... BayesIMP: Uncertainty Quantification for Causal ... Table 3: Maximal regret and test accuracy across ...