6 papers
AI-Generated Images: What Humans and Machines See When They Look at the Same Image
Silvia Poletti, Justin Ilyes, Marcel Hasenbalg +2
The misuse of generative AI in online disinformation campaigns highlights the urgent need for transparent and explainable detection systems. In this work, we investigate how detect…
A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators
Lam Pham, Khoi Vu, Dat Tran +4
In this paper, we analyze two main factors of Bonafide Resource (BR) or AI-based Generator (AG) which affect the performance and the generality of a Deepfake Speech Detection (DSD)…
Aud-Sur: An Audio Analyzer Assistant for Audio Surveillance Applications
Phat Lam, Lam Pham, Dat Tran +5
In this paper, we present an audio analyzer assistant tool designed for a wide range of audio-based surveillance applications (This work is a part of our DEFAME FAKES and EUCINF pr…
DIN-CTS: Low-Complexity Depthwise-Inception Neural Network with Contrastive Training Strategy for Deepfake Speech Detection
Lam Pham, Dat Tran, Phat Lam +5
In this paper, we propose a deep neural network approach for deepfake speech detection (DSD) based on a lowcomplexity Depthwise-Inception Network (DIN) trained with a contrastive t…
DF2023: The Digital Forensics 2023 Dataset for Image Forgery Detection
David Fischinger, Martin Boyer
The deliberate manipulation of public opinion, especially through altered images, which are frequently disseminated through online social networks, poses a significant danger to so…
DF-Net: The Digital Forensics Network for Image Forgery Detection
David Fischinger, Martin Boyer
The orchestrated manipulation of public opinion, particularly through manipulated images, often spread via online social networks (OSN), has become a serious threat to society. In…