activity
20182021
most citedFaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces

360 citations · 575 across the 5 of their papers we have counts for

collaborators

7 papers

math.PR2021

On the Approximation and Simulation of Iterated Stochastic Integrals and the Corresponding Lévy Areas in Terms of a Multidimensional Brownian Motion

Jan Mrongowius, Andreas Rößler

A new algorithm for the approximation and simulation of twofold iterated stochastic integrals together with the corresponding Lévy areas driven by a multidimensional Brownian motio…

math.PR2020

A Derivative-Free Milstein Type Approximation Method for SPDEs covering the Non-Commutative Noise case

Claudine von Hallern, Andreas Rößler

Higher order schemes for stochastic partial differential equations that do not possess commutative noise require the simulation of iterated stochastic integrals. In this work, we p…

cs.CV2019

SpoC: Spoofing Camera Fingerprints

Davide Cozzolino, Justus Thies, Andreas Rössler +2

Thanks to the fast progress in synthetic media generation, creating realistic false images has become very easy. Such images can be used to wrap "rich" fake news with enhanced cred…

math.PR2019

An Analysis of the Milstein Scheme for SPDEs without a Commutative Noise Condition

Claudine von Hallern, Andreas Rößler

In order to approximate solutions of stochastic partial differential equations (SPDEs) that do not possess commutative noise, one has to simulate the involved iterated stochastic i…

cs.CV2019

FaceForensics++: Learning to Detect Manipulated Facial Images

Andreas Rössler, Davide Cozzolino, Luisa Verdoliva +3

The rapid progress in synthetic image generation and manipulation has now come to a point where it raises significant concerns for the implications towards society. At best, this l…

cs.CV2018★ 215 cited

ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection

Davide Cozzolino, Justus Thies, Andreas Rössler +3

Distinguishing manipulated from real images is becoming increasingly difficult as new sophisticated image forgery approaches come out by the day. Naive classification approaches ba…