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08/25/2023
Federated Linear Bandit Learning via Over-the-Air Computation
In this paper, we investigate federated contextual linear bandit learnin...
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08/11/2023
Hardware Accelerators in Autonomous Driving
Computing platforms in autonomous vehicles record large amounts of data ...
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08/08/2023
Robust retrieval of material chemical states in X-ray microspectroscopy
X-ray microspectroscopic techniques are essential for studying morpholog...
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07/11/2023
Retrieval-augmented GPT-3.5-based Text-to-SQL Framework with Sample-aware Prompting and Dynamic Revision Chain
Text-to-SQL aims at generating SQL queries for the given natural languag...
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06/20/2023
MuDPT: Multi-modal Deep-symphysis Prompt Tuning for Large Pre-trained Vision-Language Models
Prompt tuning, like CoOp, has recently shown promising vision recognizin...
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05/24/2023
Generative diffusion learning for parametric partial differential equations
We develop a class of data-driven generative models that approximate the...
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05/11/2023
SigRec: Automatic Recovery of Function Signatures in Smart Contracts
Millions of smart contracts have been deployed onto Ethereum for providi...
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05/10/2023
Address Matching Based On Hierarchical Information
There is evidence that address matching plays a crucial role in many are...
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05/03/2023
On the Security Risks of Knowledge Graph Reasoning
Knowledge graph reasoning (KGR) – answering complex logical queries over...
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04/26/2023
A Case-Based Reasoning Framework for Adaptive Prompting in Cross-Domain Text-to-SQL
Recent advancements in Large Language Models (LLMs), such as Codex, Chat...
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03/21/2023
ChatGPT and a New Academic Reality: Artificial Intelligence-Written Research Papers and the Ethics of the Large Language Models in Scholarly Publishing
This paper discusses OpenAIs ChatGPT, a generative pre-trained transform...
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03/07/2023
A convergence analysis of a structure-preserving gradient flow method for the all-electron Kohn-Sham model
In [Dai et al, Multi. Model. Simul., 2020], a structure-preserving gradi...
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02/28/2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
Trojan attack on deep neural networks, also known as backdoor attack, is...
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02/28/2023
Self-normalized, score-based tests of mixed models
Score-based tests have been used to study parameter heterogeneity across...
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02/21/2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations
Automated machine learning (AutoML) is envisioned to make ML techniques ...
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01/11/2023
Graph based Environment Representation for Vision-and-Language Navigation in Continuous Environments
Vision-and-Language Navigation in Continuous Environments (VLN-CE) is a ...
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12/01/2022
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning
Vertical federated learning is a trending solution for multi-party colla...
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12/01/2022
Hijack Vertical Federated Learning Models with Adversarial Embedding
Vertical federated learning (VFL) is an emerging paradigm that enables c...
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11/14/2022
SportsTrack: An Innovative Method for Tracking Athletes in Sports Scenes
The SportsMOT competition aims to solve multiple object tracking of athl...
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10/21/2022
Neural Architectural Backdoors
This paper asks the intriguing question: is it possible to exploit neura...
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10/13/2022
Demystifying Self-supervised Trojan Attacks
As an emerging machine learning paradigm, self-supervised learning (SSL)...
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09/27/2022
Reasoning over Multi-view Knowledge Graphs
Recently, knowledge representation learning (KRL) is emerging as the sta...
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09/09/2022
Multi-Document Scientific Summarization from a Knowledge Graph-Centric View
Multi-Document Scientific Summarization (MDSS) aims to produce coherent ...
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09/05/2022
"Is your explanation stable?": A Robustness Evaluation Framework for Feature Attribution
Understanding the decision process of neural networks is hard. One vital...
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08/13/2022
Confidence Matters: Inspecting Backdoors in Deep Neural Networks via Distribution Transfer
Backdoor attacks have been shown to be a serious security threat against...
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06/28/2022
Manu: A Cloud Native Vector Database Management System
With the development of learning-based embedding models, embedding vecto...
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06/16/2022
Reconfigurable Intelligent Surfaces Empowered Green Wireless Networks with User Admission Control
Reconfigurable intelligent surface (RIS) has emerged as a cost-effective...
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06/02/2022
Stochastic Deep-Ritz for Parametric Uncertainty Quantification
Scientific machine learning has become an increasingly popular tool for ...
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05/24/2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment
Along with the popularity of Artificial Intelligence (AI) and Internet-o...
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05/13/2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Few-shot learning (FSL) has emerged as an effective learning method and ...
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05/10/2022
Multi-agent Reinforcement Learning for Dynamic Resource Management in 6G in-X Subnetworks
The 6G network enables a subnetwork-wide evolution, resulting in a "netw...
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05/09/2022
Model-Contrastive Learning for Backdoor Defense
Along with the popularity of Artificial Intelligence (AI) techniques, an...
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04/21/2022
Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation
Due to the prosperity of Artificial Intelligence (AI) techniques, more a...
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04/07/2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings
One intriguing property of adversarial attacks is their "transferability...
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04/03/2022
Convergence of the Planewave Approximations for Quantum Incommensurate Systems
Incommensurate structures come from stacking the single layers of low-di...
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03/29/2022
Over-the-Air Federated Learning via Second-Order Optimization
Federated learning (FL) is a promising learning paradigm that can tackle...
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02/28/2022
Machine Learning Empowered Intelligent Data Center Networking: A Survey
To support the needs of ever-growing cloud-based services, the number of...
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02/24/2022
Detecting change-points in noisy GPS time series with continuous piecewise structures
Detecting change-points in noisy data sequences with an underlying conti...
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02/22/2022
Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era
Facial Liveness Verification (FLV) is widely used for identity authentic...
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01/29/2022
Towards Fast and Accurate Federated Learning with non-IID Data for Cloud-Based IoT Applications
As a promising method of central model training on decentralized device ...
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12/24/2021
CatchBackdoor: Backdoor Testing by Critical Trojan Neural Path Identification via Differential Fuzzing
The success of deep neural networks (DNNs) in real-world applications ha...
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12/16/2021
APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts
Advanced Persistent Threat (APT) attack usually refers to the form of lo...
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12/11/2021
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare
Deep neural networks (DNNs) have been broadly adopted in health risk pre...
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11/30/2021
Martingale product estimators for sensitivity analysis in computational statistical physics
We introduce a new class of estimators for the linear response of steady...
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11/29/2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation
As a promising distributed machine learning paradigm, Federated Learning...
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11/24/2021
Auto robust relative radiometric normalization via latent change noise modelling
Relative radiometric normalization(RRN) of different satellite images of...
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11/22/2021
Backdoor Attack through Frequency Domain
Backdoor attacks have been shown to be a serious threat against deep lea...
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10/27/2021
Towards Robust Reasoning over Knowledge Graphs
Answering complex logical queries over large-scale knowledge graphs (KGs...
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10/12/2021
On the Security Risks of AutoML
Neural Architecture Search (NAS) represents an emerging machine learning...
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05/23/2021