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08/20/2023
FedSIS: Federated Split Learning with Intermediate Representation Sampling for Privacy-preserving Generalized Face Presentation Attack Detection
Lack of generalization to unseen domains/attacks is the Achilles heel of...
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07/31/2023
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Conversational engagement estimation is posed as a regression problem, e...
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06/26/2023
FeSViBS: Federated Split Learning of Vision Transformer with Block Sampling
Data scarcity is a significant obstacle hindering the learning of powerf...
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06/22/2023
Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces
The ability of generative models to produce highly realistic synthetic f...
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06/16/2023
CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search
The success of deep learning based face recognition systems has given ri...
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03/10/2023
Single-branch Network for Multimodal Training
With the rapid growth of social media platforms, users are sharing billi...
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11/24/2022
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation
Chest X-ray is one of the most popular medical imaging modalities due to...
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11/17/2022
Towards Building Text-To-Speech Systems for the Next Billion Users
Deep learning based text-to-speech (TTS) systems have been evolving rapi...
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10/12/2022
Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
Hateful memes are a growing menace on social media. While the image and ...
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10/03/2022
Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data
We have gained access to vast amounts of multi-omics data thanks to Next...
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09/02/2022
Learning an Ensemble of Deep Fingerprint Representations
Deep neural networks (DNNs) have shown incredible promise in learning fi...
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08/04/2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
Vision Transformers (ViT) are competing to replace Convolutional Neural ...
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07/15/2022
Suppressing Poisoning Attacks on Federated Learning for Medical Imaging
Collaboration among multiple data-owning entities (e.g., hospitals) can ...
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05/19/2022
On Demographic Bias in Fingerprint Recognition
Fingerprint recognition systems have been deployed globally in numerous ...
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04/12/2022
MuCoT: Multilingual Contrastive Training for Question-Answering in Low-resource Languages
Accuracy of English-language Question Answering (QA) systems has improve...
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02/03/2022
SubOmiEmbed: Self-supervised Representation Learning of Multi-omics Data for Cancer Type Classification
For personalized medicines, very crucial intrinsic information is presen...
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10/06/2021
Dynamically Decoding Source Domain Knowledge For Unseen Domain Generalization
Domain generalization is an important problem which has gain much attent...
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08/23/2021
Discovering Spatial Relationships by Transformers for Domain Generalization
Due to the rapid increase in the diversity of image data, the problem of...
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03/05/2021
Efficient Encrypted Inference on Ensembles of Decision Trees
Data privacy concerns often prevent the use of cloud-based machine learn...
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01/30/2021
Efficient CNN Building Blocks for Encrypted Data
Machine learning on encrypted data can address the concerns related to p...
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07/18/2020
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
This paper firstly considers the research problem of fairness in collabo...
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06/04/2019
Towards Fair and Decentralized Privacy-Preserving Deep Learning with Blockchain
In collaborative deep learning, current learning frameworks follow eithe...
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04/23/2019