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Found 6 papers, 2 papers with code
Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning
By optimizing the similarity between samples and weight vectors, our approach aims to distinguish between real and fake instances.
CapST: An Enhanced and Lightweight Model Attribution Approach for Synthetic Videos
Deepfake videos, generated through AI faceswapping techniques, have garnered considerable attention due to their potential for powerful impersonation attacks.
Lip Sync Matters: A Novel Multimodal Forgery Detector
Deepfake technology has advanced a lot, but it is a double-sided sword for the community.
Ranked #1 on
DeepFake Detection
on FakeAVCeleb
(Accuracy (%) metric)
Detection of Diabetic Anomalies in Retinal Images using Morphological Cascading Decision Tree
This research aims to develop an efficient system for screening of diabetic retinopathy.
Macromolecule Classification Based on the Amino-acid Sequence
Deep learning is playing a vital role in every field which involves data.
Classification of Macromolecule Type Based on Sequences of Amino Acids Using Deep Learning
The classification of amino acids and their sequence analysis plays a vital role in life sciences and is a challenging task.
