Machine Learning Explanations to Prevent Overtrust in Fake News Detection

no code implementations • 24 Jul 2020 • Sina Mohseni, Fan Yang, Shiva Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric Ragan

Combating fake news and misinformation propagation is a challenging task in the post-truth era.

BIG-bench Machine Learning Fake News Detection +1

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder

no code implementations • 13 Sep 2019 • Mengnan Du, Shiva Pentyala, Yuening Li, Xia Hu

The analysis further shows that LAE outperforms the state-of-the-arts by 6. 52%, 12. 03%, and 3. 08% respectively on three deepfake detection tasks in terms of generalization accuracy on previously unseen manipulations.

Active Learning DeepFake Detection +2

Multi-Task Networks With Universe, Group, and Task Feature Learning

no code implementations • ACL 2019 • Shiva Pentyala, Mengwen Liu, Markus Dreyer

We present methods for multi-task learning that take advantage of natural groupings of related tasks.

Multi-Task Learning Natural Language Understanding