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Found 13 papers, 0 papers with code
Towards CGAN-based Satellite Image Synthesis with Partial Pixel-Wise Annotation
We first define the problem of image synthesis using partially annotated data, and we discuss a scenario in which we face such a challenge.
GAN-Based Object Removal in High-Resolution Satellite Images
GAN-based approaches have been employed to create forged images with two major problems: (i) adding a new object to the scene to hide a specific object or region may create unrealistic merging with surrounding areas; and (ii) using masks on color feature images has proven to be unsuccessful in GAN-based object removal.
Detecting Conspiracy Theory Against COVID-19 Vaccines
Since the beginning of the vaccination trial, social media has been flooded with anti-vaccination comments and conspiracy beliefs.
RAF: Recursive Adversarial Attacks on Face Recognition Using Extremely Limited Queries
In this paper, we propose recursive adversarial attack on face recognition using automatic face warping which needs extremely limited number of queries to fool the target model.
Counter Hate Speech in Social Media: A Survey
To the best of our knowledge, no attempt has been made to survey the related work to compare the past research in terms of CHS's impact on social media.
Hate Speech Detection in Clubhouse
This makes the hate speech detection challenging in new social media like Clubhouse.
Statistical Analysis of Perspective Scores on Hate Speech Detection
It has proven that, state-of-the-art hate speech classifiers are efficient only when tested on the data with the same feature distribution as training data.
Towards Stable Imbalanced Data Classification via Virtual Big Data Projection
Virtual Big Data (VBD) proved to be effective to alleviate mode collapse and vanishing generator gradient as two major problems of Generative Adversarial Neural Networks (GANs) very recently.
Vulnerability of Face Recognition Systems Against Composite Face Reconstruction Attack
In this paper, we prove that, the face reconstruction attacks based on composite faces can reveal the inefficiency of rounding policy as countermeasure.
One-Shot GAN Generated Fake Face Detection
As the quality of fake faces increases, the trained models become more and more inefficient to detect the novel fake faces, since the corresponding training data is considered outdated.
Deep Synthetic Minority Over-Sampling Technique
In this method, a deep neural network regression model is used to train the inputs and outputs of traditional SMOTE.
Hybrid Cryptocurrency Pump and Dump Detection
In this paper, we propose a novel hybrid pump and dump detection method based on distance and density metrics.
Toward Efficient Breast Cancer Diagnosis and Survival Prediction Using L-Perceptron
Breast cancer is the most frequently reported cancer type among the women around the globe and beyond that it has the second highest female fatality rate among all cancer types.
