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Publications associées (22)
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors
Sabine Süsstrunk, Yufan Ren, Peter Arpad Grönquist, Alessio Verardo, Qingyi He
Video DeepFakes are fake media created with Deep Learning (DL) that manipulate a person’s expression or identity. Most current DeepFake detection methods analyze each frame independently, ignoring inconsistencies and unnatural movements between frames. Som ...
2024Simulation Of New Methods Using Applications Which Exflitrate Data From Android Phones
Nowadays mobile phones have become indispensable, as they have been endowed with many of the capabilities that a user was able to achieve previously with the help of PCs only. Among the functions that mobile phones perform we identify audio and video calls ...
POLYTECHNIC UNIV BUCHAREST2022Between Hospitality and Inhospitality: The Janus-Faced 'Arrival Infrastructure'
Luca Giovanni Pattaroni, Maxime Carl Felder, Marie Hannah Florence Trossat, Joan Stavo-Debauge
Although 'arrival infrastructure' is central to the experience of migrants arriving in a new city, is it sufficient to form a 'hospitable milieu'? Our article compares newcomers' experiences with 'arrival infrastructure' in two European cities: Brussels an ...
2020Between Hospitality and Inhospitality: The Janus-Faced 'Arrival Infrastructure'
Luca Giovanni Pattaroni, Guillaume Simon Joseph Drevon, Maxime Carl Felder, Marie Hannah Florence Trossat, Joan Stavo-Debauge
Although ‘arrival infrastructure’ is central to the experience of migrants arriving in a new city, is it sufficient to form a ‘hospitable milieu’? Our article compares newcomers’ experiences with ‘arrival infrastructure’ in two European cities: Brussels an ...
2020Wanted: A standard for virtual patent marking
Gaétan Jean A de Rassenfosse, Kyle William Higham
Patent marking is used by patentees to provide a form of notice to the public about the existence of a patent and can increase damages awarded in cases of infringement. Historically, marking is done by listing the associated patents on the product they cov ...
2020Private and Secure Distributed Learning
The ever-growing number of edge devices (e.g., smartphones) and the exploding volume of sensitive data they produce, call for distributed machine learning techniques that are privacy-preserving. Given the increasing computing capabilities of modern edge de ...
EPFL2020Verification of Software Network Functions with No Verification Expertise
Software network functions (NFs), such as a network address translator, load balancer, or proxy,
promise to bring flexibility and rapid innovation to computer networks and to reduce operational costs.
However, continuous updates and flexibility typically c ...
EPFL2020Social Innovation and Resilience: exploring the dynamics and impacts on the digital transformation of governance & society
Gianluigi Viscusi, Gianluca Carlo Misuraca
This paper is set out to establish the foundations for developing a framework to assess the potential impact of social policy innovation to contribute to the debate on the future of welfare systems. This calls in fact for monitoring the evolution of social ...
Association for Computing Machinery (ACM)2018Its not that I dont care, I just dont care very much: confounding between attribute non-attendance and taste heterogeneity
With the growing interest in the topic of attribute non-attendance, there is now widespread use of latent class (LC) structures aimed at capturing such behaviour, across a number of different fields. Specifically, these studies rely on a confirmatory LC mo ...
Springer2013