67 citations · 83 across the 4 of their papers we have counts for
4 papers
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis, Giorgos Kordopatis-Zilos, Panagiotis Galopoulos +6
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase in easy-to-use generation…
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models
Ambrish Rawat, Killian Levacher, Mathieu Sinn
Deep Generative Models (DGMs) are a popular class of deep learning models which find widespread use because of their ability to synthesize data from complex, high-dimensional manif…
Diffprivlib: The IBM Differential Privacy Library
Naoise Holohan, Stefano Braghin, Pól Mac Aonghusa +1
Since its conception in 2006, differential privacy has emerged as the de-facto standard in data privacy, owing to its robust mathematical guarantees, generalised applicability and…
OntoSeg: a Novel Approach to Text Segmentation using Ontological Similarity
Mostafa Bayomi, Killian Levacher, M. Rami Ghorab +1
Text segmentation (TS) aims at dividing long text into coherent segments which reflect the subtopic structure of the text. It is beneficial to many natural language processing task…