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06/05/2023
When Decentralized Optimization Meets Federated Learning
Federated learning is a new learning paradigm for extracting knowledge f...
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05/17/2023
Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint
This work, for the first time, introduces two constant factor approximat...
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04/14/2023
Cultural-aware Machine Learning based Analysis of COVID-19 Vaccine Hesitancy
Understanding the COVID-19 vaccine hesitancy, such as who and why, is ve...
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02/24/2023
Active Membership Inference Attack under Local Differential Privacy in Federated Learning
Federated learning (FL) was originally regarded as a framework for colla...
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02/06/2023
LAVA: Granular Neuron-Level Explainable AI for Alzheimer's Disease Assessment from Fundus Images
Alzheimer's Disease (AD) is a progressive neurodegenerative disease and ...
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01/01/2023
Investigating the Dynamics of Social Norm Emergence within Online Communities
Although the effects of the social norm on mitigating misinformation are...
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12/08/2022
XRand: Differentially Private Defense against Explanation-Guided Attacks
Recent development in the field of explainable artificial intelligence (...
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12/02/2022
On the Limit of Explaining Black-box Temporal Graph Neural Networks
Temporal Graph Neural Network (TGNN) has been receiving a lot of attenti...
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09/18/2022
EMaP: Explainable AI with Manifold-based Perturbations
In the last few years, many explanation methods based on the perturbatio...
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09/18/2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
Despite recent studies on understanding deep neural networks (DNNs), the...
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09/02/2022
An Explainer for Temporal Graph Neural Networks
Temporal graph neural networks (TGNNs) have been widely used for modelin...
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07/26/2022
Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning
In this paper, we show that the process of continually learning new task...
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07/19/2022
Towards An Optimal Solution to Place Bistatic Radars for Belt Barrier Coverage with Minimum Cost
With the rapid growth of threats, sophistication and diversity in the ma...
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07/19/2022
Optimizing Resource Allocation and VNF Embedding in RAN Slicing
5G radio access network (RAN) with network slicing methodology plays a k...
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06/30/2022
Stochastic Bilevel Distributed Optimization over a Network
Bilevel optimization has been applied to a wide variety of machine learn...
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05/11/2022
Blockchain-based Secure Client Selection in Federated Learning
Despite the great potential of Federated Learning (FL) in large-scale di...
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05/10/2022
FastHare: Fast Hamiltonian Reduction for Large-scale Quantum Annealing
Quantum annealing (QA) that encodes optimization problems into Hamiltoni...
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04/29/2022
Efficient Algorithms for Monotone Non-Submodular Maximization with Partition Matroid Constraint
In this work, we study the problem of monotone non-submodular maximizati...
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02/07/2022
Preserving Privacy and Security in Federated Learning
Federated learning is known to be vulnerable to security and privacy iss...
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11/12/2021
Learning Interpretation with Explainable Knowledge Distillation
Knowledge Distillation (KD) has been considered as a key solution in mod...
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10/11/2021
Continual Learning with Differential Privacy
In this paper, we focus on preserving differential privacy (DP) in conti...
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09/18/2021
Groups Influence with Minimum Cost in Social Networks
This paper studies a Group Influence with Minimum cost which aims to fin...
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12/14/2020
Minimum Robust Multi-Submodular Cover for Fairness
In this paper, we study a novel problem, Minimum Robust Multi-Submodular...
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10/12/2020
PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks
In Graph Neural Networks (GNNs), the graph structure is incorporated int...
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09/18/2020
Length-Bounded Paths Interdiction in Continuous Domain for Network Performance Assessment
Studying on networked systems, in which a communication between nodes is...
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09/15/2020
Auditing the Sensitivity of Graph-based Ranking with Visual Analytics
Graph mining plays a pivotal role across a number of disciplines, and a ...
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07/16/2020
Denial-of-Service Vulnerability of Hash-based Transaction Sharding: Attacks and Countermeasures
Since 2016, sharding has become an auspicious solution to tackle the sca...
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07/16/2020
OptChain: Optimal Transactions Placement for Scalable Blockchain Sharding
A major challenge in blockchain sharding protocols is that more than 95 ...
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07/16/2020
A Blockchain-based Iterative Double Auction Protocol using Multiparty State Channels
Although the iterative double auction has been widely used in many diffe...
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10/03/2019
Importance Sample-based Approximation Algorithm for Cost-aware Targeted Viral Marketing
Cost-aware Targeted Viral Marketing (CTVM), a generalization of Influenc...
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08/01/2019
Submodular Cost Submodular Cover with an Approximate Oracle
In this work, we study the Submodular Cost Submodular Cover problem, whi...
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06/05/2019
Evaluating Explainers via Perturbation
Due to high complexity of many modern machine learning models such as de...
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06/02/2019
Heterogeneous Gaussian Mechanism: Preserving Differential Privacy in Deep Learning with Provable Robustness
In this paper, we propose a novel Heterogeneous Gaussian Mechanism (HGM)...
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03/23/2019
Preserving Differential Privacy in Adversarial Learning with Provable Robustness
In this paper, we aim to develop a novel mechanism to preserve different...
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02/10/2019
Exploring Spatial, Temporal, and Logical Attacks on the Bitcoin Network
In this paper, we explore the partitioning attacks on the Bitcoin networ...
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02/05/2019
Network Resilience Assessment via QoS Degradation Metrics: An Algorithmic Approach
This paper focuses on network resilience to perturbation of edge weight....
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08/20/2018
Contract-based Incentive Mechanism for LTE over Unlicensed Channels
In this paper, a novel economic approach, based on the framework of cont...
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05/17/2018
