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Anja Feldmann

Researcher at Max Planck Society

Publications -  368
Citations -  18932

Anja Feldmann is an academic researcher from Max Planck Society. The author has contributed to research in topics: The Internet & Antigen. The author has an hindex of 67, co-authored 340 publications receiving 17422 citations. Previous affiliations of Anja Feldmann include Saarland University & AT&T.

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Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications

TL;DR: The SIGCOMM 2003 Data Communications Festival in Karlsruhe, Germany as mentioned in this paper is the most popular data conference in the world, with a focus on network security and self-similar traffic.
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Flexible Antigen-Specific Redirection of Human Regulatory T Cells Via a Novel Universal Chimeric Antigen Receptor System

TL;DR: A more flexible universal CAR (UCAR) platform is developed that allows redirection of T cells to an in principal unrestricted number of surface antigens and pave the way towards an application of UCAR technology for a site-specific recruitment of CAR-modified Tregs into inflamed tissues aiming at re-establishing immune homeostasis.
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Simultaneous targeting of prostate stem cell antigen and prostate-specific membrane antigen improves the killing of prostate cancer cells using a novel modular T cell-retargeting system.

TL;DR: A novel modular platform technology in which T cell‐recruitment and tumor‐targeting domains of conventional bispecific antibodies are split to independent components, a universal effector module (EM) and replaceable monospecific/monovalent target modules (TMs) that form highly efficient T cell-retargeting complexes should allow for simultaneous retargeting of tumor antigens.
Proceedings ArticleDOI

Detection, classification, and analysis of inter-domain traffic with spoofed source IP addresses

TL;DR: This paper proposes and evaluates a method to passively detect spoofed packets in traffic exchanged between networks in the inter-domain Internet, and applies it to classify the traffic exchange between more than 700 networks at a large European IXP.