Search Results for author: Dat Nguyen

Found 12 papers, 7 papers with code

Vulnerability-Aware Spatio-Temporal Learning for Generalizable and Interpretable Deepfake Video Detection

no code implementations2 Jan 2025 Dat Nguyen, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada

Second, we propose a video-level data synthesis algorithm that generates pseudo-fake videos with subtle artifacts, providing the model with high-quality samples and ground truth data for our spatial and temporal branches.

Face Swapping Multi-Task Learning

Combining Induction and Transduction for Abstract Reasoning

1 code implementation4 Nov 2024 Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis

When learning an input-output mapping from very few examples, is it better to first infer a latent function that explains the examples, or is it better to directly predict new test outputs, e. g. using a neural network?

ARC Program Synthesis

FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection

no code implementations29 Oct 2024 Dat Nguyen, Marcella Astrid, Enjie Ghorbel, Djamila Aouada

Recently, Vision Transformers (ViTs) have achieved unprecedented effectiveness in the general domain of image classification.

DeepFake Detection Face Swapping +1

Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing

1 code implementation19 Feb 2024 Thanh Le-Cong, Dat Nguyen, Bach Le, Toby Murray

In this paper, we propose shifting the focus of robustness evaluation for Neural Program Repair (NPR) techniques toward naturally-occurring data transformations.

Program Repair

LAA-Net: Localized Artifact Attention Network for Quality-Agnostic and Generalizable Deepfake Detection

1 code implementation CVPR 2024 Dat Nguyen, Nesryne Mejri, Inder Pal Singh, Polina Kuleshova, Marcella Astrid, Anis Kacem, Enjie Ghorbel, Djamila Aouada

Second, an Enhanced Feature Pyramid Network (E-FPN) is proposed as a simple and effective mechanism for spreading discriminative low-level features into the final feature output, with the advantage of limiting redundancy.

DeepFake Detection Face Swapping +1

Inferring Properties of Graph Neural Networks

no code implementations8 Jan 2024 Dat Nguyen, Hieu M. Vu, Cong-Thanh Le, Bach Le, David Lo, ThanhVu Nguyen, Corina Pasareanu

To tackle the challenge of varying input structures in GNNs, GNNInfer first identifies a set of representative influential structures that contribute significantly towards the prediction of a GNN.

Backdoor Attack

CAPTAIN at COLIEE 2023: Efficient Methods for Legal Information Retrieval and Entailment Tasks

1 code implementation7 Jan 2024 Chau Nguyen, Phuong Nguyen, Thanh Tran, Dat Nguyen, An Trieu, Tin Pham, Anh Dang, Le-Minh Nguyen

The Competition on Legal Information Extraction/Entailment (COLIEE) is held annually to encourage advancements in the automatic processing of legal texts.

Information Retrieval Retrieval +1

Miko Team: Deep Learning Approach for Legal Question Answering in ALQAC 2022

no code implementations4 Nov 2022 Hieu Nguyen Van, Dat Nguyen, Phuong Minh Nguyen, Minh Le Nguyen

We introduce efficient deep learning-based methods for legal document processing including Legal Document Retrieval and Legal Question Answering tasks in the Automated Legal Question Answering Competition (ALQAC 2022).

Information Retrieval Question Answering +1

Active Learning Helps Pretrained Models Learn the Intended Task

1 code implementation18 Apr 2022 Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman

Models can fail in unpredictable ways during deployment due to task ambiguity, when multiple behaviors are consistent with the provided training data.

Active Learning

Pretrained models are active learners

no code implementations29 Sep 2021 Alex Tamkin, Dat Nguyen, Salil Deshpande, Jesse Mu, Noah Goodman

An important barrier to the safe deployment of machine learning systems is the risk of \emph{task ambiguity}, where multiple behaviors are consistent with the provided examples.

Active Learning

HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections

1 code implementation7 Jun 2021 Ines Chami, Albert Gu, Dat Nguyen, Christopher Ré

Given directions, PCA relies on: (1) a parameterization of subspaces spanned by these directions, (2) a method of projection onto subspaces that preserves information in these directions, and (3) an objective to optimize, namely the variance explained by projections.

Dimensionality Reduction

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