ICMR

In this talk, Dang-Nguyen discusses case studies conducted in collaboration with fact-checkers and journalists in the Nordic countries, with a specific focus on the user needs of fact-checkers, their workflows, and tools employed for verifying visual ...

In the summer of 2023, the Writers Guild of America embarked on what would become one of its longest strikes in history. Concurrently, the early stirrings of the presidential campaign saw several ads circulating with convincingly altered video and audio ...

With the advancement of artificial intelligence, the methods for generating audio deepfakes have improved, but the technology behind it has become more complex. Despite this, non-expert users are able to generate audio deepfakes due to the increased ...

Audio deepfakes are becoming increasingly prevalent, posing a threat to companies who may fall victim to CEO fraud, as well as individuals who may be targeted by voice scams. As a result, the need for audio deepfake detectors is growing. While academic ...

This paper introduces a novel approach that enhances synthetic speech detection by applying Benford’s law analysis to the encoder embeddings. By leveraging Benford’s Law as supplementary information alongside the existing embeddings, the model gains a ...

This paper presents a baseline approach and an experimental protocol for a specific content verification problem: detecting discrepancies between the audio and video modalities in multimedia content. We first design and optimize an audio-visual scene ...

In this paper we propose a new framework for evaluating the performance of explanation methods on the decisions of a deepfake detector. This framework assesses the ability of an explanation method to spot the regions of a fake image with the biggest ...

The crucial effort to counteract deepfakes and misinformation at large holds great importance in our society, especially at this moment in time. Deepfake detectors evolve at the same pace as deepfake generators, or even slower, and more than that, they ...

The generative AI technology offers an increasing variety of tools for generating entirely synthetic images that are increasingly indistinguishable from real ones. Unlike methods that alter portions of an image, the creation of completely synthetic ...

With increasingly easier access to large, pre-trained text-to-image models, a surge of synthetic images, often visually indistinguishable from natural images, can be observed. Since naturalistic, synthetic images can be misidentified as natural, a ...

Automated fact-checking (AFC) is garnering increasing attention by researchers aiming to help fact-checkers combat the increasing spread of misinformation online. While many existing AFC methods incorporate external information from the Web to help ...

With the rapid growth of social media and online platforms, the spread of disinformation has become rampant across the globe and among different languages. Detecting disinformation in non-English languages is crucial due to the global nature of ...

The rapidly increasing amount of online information and the advent of Generative Artificial Intelligence (GenAI) make the manual verification of information impractical. Consequently, AI systems are deployed to detect disinformation and deepfakes. Prior ...