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Found 9 papers, 2 papers with code
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
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 tools and the rapid dissemination through social media.
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models
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 manifolds.
Diffprivlib: The IBM Differential Privacy Library
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 rich body of literature.
Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text
Large organizations spend considerable resources in reviewing regulations and ensuring that their business processes are compliant with the law.
Know Who Your Friends Are: Understanding Social Connections from Unstructured Text
Having an understanding of interpersonal relationships is helpful in many contexts.
Decision Conversations Decoded
We describe the vision and current version of a Natural Language Processing system aimed at group decision making facilitation.
OntoSeg: a Novel Approach to Text Segmentation using Ontological Similarity
Current approaches to text segmentation are similar in that they all use word-frequency metrics to measure the similarity between two regions of text, so that a document is segmented based on the lexical cohesion between its words.
