4 papers
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…
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…
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…
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…