Type
PhD Student
Departement
Digital Security
Date
02-2023
Position
PhD Position – Thesis offer M/F (Ref: SN/JLD/deepfake/PhD/022023)
This thesis is part of a new national collaborative project in France ANR ASTRID Guerre Cognitive , proposed by EURECOM specialized in computer vision and IRCAM specialized in audio, entitled: “Fight against deepfakes of French personalities”.
Recent challenges have shown that it is extremely difficult to develop universal detectors for deepfake videos - such as the deepfakes used to forge a person's identity. When the detectors are exposed to videos generated by a new algorithm, i.e. unseen during the training phase, the performance remains limited. For the video part, the algorithms check frames one by one, without considering facial dynamics. This is a major weakness of deepfake video generators. The present project aims at implementing and training customized deepfake detection algorithms on individuals for which many real and fake audio-video sequences are available and/or can be created. Based on state-of- the-art audio and video algorithms, the thesis will focus on considering the temporal evolution of audio-visual signals and their synchronization in the generation and detection of deepfakes. The objective is to demonstrate that by using audio and video simultaneously and focusing on a specific person during training and detection, it is possible to design efficient detectors even against unseen generators
Requirements
Application
The application must include:
Applications should be submitted by e-mail to [email protected] with the reference: SN/JLD/deepfake/PhD/022023
Start date: ASAP Duration: Duration of the thesis
More info
SNJLDdeepfakePhD022023US.pdf93.2 KB