no code implementations • 1 Feb 2023 • Hadi Mansourifar, Steven J. Simske
We first define the problem of image synthesis using partially annotated data, and we discuss a scenario in which we face such a challenge.
no code implementations • 24 Jan 2023 • Hadi Mansourifar, Steven J. Simske
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.
no code implementations • 20 Nov 2022 • Md Hasibul Amin, Harika Madanu, Sahithi Lavu, Hadi Mansourifar, Dana Alsagheer, Weidong Shi
Since the beginning of the vaccination trial, social media has been flooded with anti-vaccination comments and conspiracy beliefs.
no code implementations • 4 Jul 2022 • Keshav Kasichainula, Hadi Mansourifar, Weidong Shi
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.
no code implementations • 21 Feb 2022 • Dana Alsagheer, Hadi Mansourifar, Weidong Shi
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.
no code implementations • 24 Jun 2021 • Hadi Mansourifar, Dana Alsagheer, Reza Fathi, Weidong Shi, Lan Ni, Yan Huang
This makes the hate speech detection challenging in new social media like Clubhouse.
no code implementations • 22 Jun 2021 • Hadi Mansourifar, Dana Alsagheer, Weidong Shi, Lan Ni, Yan Huang
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.
no code implementations • 23 Aug 2020 • Hadi Mansourifar, Weidong Shi
In this paper, we prove that, the face reconstruction attacks based on composite faces can reveal the inefficiency of rounding policy as countermeasure.
no code implementations • 23 Aug 2020 • Hadi Mansourifar, Weidong Shi
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.
no code implementations • 27 Mar 2020 • Hadi Mansourifar, Weidong Shi
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.
no code implementations • 22 Mar 2020 • Hadi Mansourifar, Weidong Shi
In this method, a deep neural network regression model is used to train the inputs and outputs of traditional SMOTE.
no code implementations • 14 Mar 2020 • Hadi Mansourifar, Lin Chen, Weidong Shi
In this paper, we propose a novel hybrid pump and dump detection method based on distance and density metrics.
no code implementations • 5 Nov 2018 • Hadi Mansourifar, Weidong Shi
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.