156 citations · 269 across the 24 of their papers we have counts for
24 papers
Security Allocation in Networked Control Systems under Stealthy Attacks
Anh Tung Nguyen, André M. H. Teixeira, Alexander Medvedev
This paper considers the problem of security allocation in a networked control system under stealthy attacks. The system is comprised of interconnected subsystems represented by ve…
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation
Dung Nguyen Manh, Nam Le Hai, Anh T. V. Dau +4
We present The Vault, a dataset of high-quality code-text pairs in multiple programming languages for training large language models to understand and generate code. We present met…
Optimal Detector Placement in Networked Control Systems under Cyber-attacks with Applications to Power Networks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira +1
This paper proposes a game-theoretic method to address the problem of optimal detector placement in a networked control system under cyber-attacks. The networked control system is…
Secure State Estimation with Asynchronous Measurements against Malicious Measurement-data and Time-stamp Manipulation
Zishuo Li, Anh Tung Nguyen, André Teixeira +2
This paper proposes a secure state estimation scheme with non-periodic asynchronous measurements for linear continuous-time systems under false data attacks on the measurement tran…
Music-Driven Group Choreography
Nhat Le, Thang Pham, Tuong Do +3
Music-driven choreography is a challenging problem with a wide variety of industrial applications. Recently, many methods have been proposed to synthesize dance motions from music…
Style Transfer for 2D Talking Head Animation
Trong-Thang Pham, Nhat Le, Tuong Do +4
Audio-driven talking head animation is a challenging research topic with many real-world applications. Recent works have focused on creating photo-realistic 2D animation, while lea…
Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss
Tuong Do, Binh X. Nguyen, Hien Nguyen +4
Federated learning has been widely applied in autonomous driving since it enables training a learning model among vehicles without sharing users' data. However, data from autonomou…
A Light-weight Deep Learning Model for Remote Sensing Image Classification
Lam Pham, Cam Le, Dat Ngo +4
In this paper, we present a high-performance and light-weight deep learning model for Remote Sensing Image Classification (RSIC), the task of identifying the aerial scene of a remo…
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question Answering
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara +1
To explain the predicted answers and evaluate the reasoning abilities of models, several studies have utilized underlying reasoning (UR) tasks in multi-hop question answering (QA)…
A Zero-Sum Game Framework for Optimal Sensor Placement in Uncertain Networked Control Systems under Cyber-Attacks
Anh Tung Nguyen, Sribalaji C. Anand, André M. H. Teixeira
This paper proposes a game-theoretic approach to address the problem of optimal sensor placement against an adversary in uncertain networked control systems. The problem is formula…
Uncertainty-aware Label Distribution Learning for Facial Expression Recognition
Nhat Le, Khanh Nguyen, Quang Tran +3
Despite significant progress over the past few years, ambiguity is still a key challenge in Facial Expression Recognition (FER). It can lead to noisy and inconsistent annotation, w…
Detecting Spam Reviews on Vietnamese E-commerce Websites
Co Van Dinh, Son T. Luu, Anh Gia-Tuan Nguyen
The reviews of customers play an essential role in online shopping. People often refer to reviews or comments of previous customers to decide whether to buy a new product. Catching…
Long-tailed Instance Segmentation using Gumbel Optimized Loss
Konstantinos Panagiotis Alexandridis, Jiankang Deng, Anh Nguyen +1
Major advancements have been made in the field of object detection and segmentation recently. However, when it comes to rare categories, the state-of-the-art methods fail to detect…
CodeT: Code Generation with Generated Tests
Bei Chen, Fengji Zhang, Anh Nguyen +4
The task of generating code solutions for a given programming problem can benefit from the use of pre-trained language models such as Codex, which can produce multiple diverse samp…
Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology
Tuong Do, Binh X. Nguyen, Vuong Pham +4
Federated learning is an active research topic since it enables several participants to jointly train a model without sharing local data. Currently, cross-silo federated learning i…
A Single-Adversary-Single-Detector Zero-Sum Game in Networked Control Systems
Anh Tung Nguyen, André M. H. Teixeira, Alexander Medvedev
This paper proposes a game-theoretic approach to address the problem of optimal sensor placement for detecting cyber-attacks in networked control systems. The problem is formulated…
Artificial Intelligence Enables Real-Time and Intuitive Control of Prostheses via Nerve Interface
Diu Khue Luu, Anh Tuan Nguyen, Ming Jiang +11
Objective: The next generation prosthetic hand that moves and feels like a real hand requires a robust neural interconnection between the human minds and machines. Methods: Here we…
Deep Federated Learning for Autonomous Driving
Anh Nguyen, Tuong Do, Minh Tran +5
Autonomous driving is an active research topic in both academia and industry. However, most of the existing solutions focus on improving the accuracy by training learnable models w…
Coarse-to-Fine Reasoning for Visual Question Answering
Binh X. Nguyen, Tuong Do, Huy Tran +3
Bridging the semantic gap between image and question is an important step to improve the accuracy of the Visual Question Answering (VQA) task. However, most of the existing VQA met…
Attention Gate in Traffic Forecasting
Anh Lam, Anh Nguyen, Bac Le
Because of increased urban complexity and growing populations, more and more challenges about predicting city-wide mobility behavior are being organized. Traffic Map Movie Forecast…
An Analysis of State-of-the-art Activation Functions For Supervised Deep Neural Network
Anh Nguyen, Khoa Pham, Dat Ngo +2
This paper provides an analysis of state-of-the-art activation functions with respect to supervised classification of deep neural network. These activation functions comprise of Re…
baller2vec++: A Look-Ahead Multi-Entity Transformer For Modeling Coordinated Agents
Michael A. Alcorn, Anh Nguyen
In many multi-agent spatiotemporal systems, agents operate under the influence of shared, unobserved variables (e.g., the play a team is executing in a game of basketball). As a re…
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara +1
A multi-hop question answering (QA) dataset aims to test reasoning and inference skills by requiring a model to read multiple paragraphs to answer a given question. However, curren…
Input-Aware Dynamic Backdoor Attack
Anh Nguyen, Anh Tran
In recent years, neural backdoor attack has been considered to be a potential security threat to deep learning systems. Such systems, while achieving the state-of-the-art performan…