most citedDiscovery and Separation of Features for Invariant Representation Learning

7 citations · 7 across the 3 of their papers we have counts for

collaborators

5 papers

cs.MM2020

MEG: Multi-Evidence GNN for Multimodal Semantic Forensics

Ekraam Sabir, Ayush Jaiswal, Wael AbdAlmageed +1

Fake news often involves semantic manipulations across modalities such as image, text, location etc and requires the development of multimodal semantic forensics for its detection.…

eess.AS2020

Adversarial defense for deep speaker recognition using hybrid adversarial training

Monisankha Pal, Arindam Jati, Raghuveer Peri +3

Deep neural network based speaker recognition systems can easily be deceived by an adversary using minuscule imperceptible perturbations to the input speech samples. These adversar…

cs.CV2020

Two-branch Recurrent Network for Isolating Deepfakes in Videos

Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas +2

The current spike of hyper-realistic faces artificially generated using deepfakes calls for media forensics solutions that are tailored to video streams and work reliably with a lo…

cs.CV2020

Multispectral Biometrics System Framework: Application to Presentation Attack Detection

Leonidas Spinoulas, Mohamed Hussein, David Geissbühler +5

In this work, we present a general framework for building a biometrics system capable of capturing multispectral data from a series of sensors synchronized with active illumination…

cs.LG20197 cited

Discovery and Separation of Features for Invariant Representation Learning

Ayush Jaiswal, Rob Brekelmans, Daniel Moyer +3

Supervised machine learning models often associate irrelevant nuisance factors with the prediction target, which hurts generalization. We propose a framework for training robust ne…