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Found 5 papers, 1 papers with code
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
We introduce HoVer (HOppy VERification), a dataset for many-hop evidence extraction and fact verification.
Adversarial Attack on Deep Learning-Based Splice Localization
Regarding image forensics, researchers have proposed various approaches to detect and/or localize manipulations, such as splices.
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Purpose: Using machine learning method to realize automatic severity assessment (non-severe or severe) of COVID-19 based on chest CT images, and to explore the severity-related features from the resulting assessment model.
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics
We propose an innovative method to formulate the issue of localizing manipulated regions in an image as a deep representation learning problem using the Information Bottleneck (IB), which has recently gained popularity as a framework for interpreting deep neural networks.
SpliceRadar: A Learned Method For Blind Image Forensics
It comprises a novel approach for learning rich filters and for suppressing image-edges.
