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07/17/2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models
Despite a surge in interest in GNN development, homogeneity in benchmark...
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05/12/2023
Predicting COVID-19 pandemic by spatio-temporal graph neural networks: A New Zealand's study
Modeling and simulations of pandemic dynamics play an essential role in ...
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02/13/2023
Achieving Better Regret against Strategic Adversaries
We study online learning problems in which the learner has extra knowled...
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12/14/2022
Invariant Lipschitz Bandits: A Side Observation Approach
Symmetry arises in many optimization and decision-making problems, and h...
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11/15/2022
Multi-Player Bandits Robust to Adversarial Collisions
Motivated by cognitive radios, stochastic Multi-Player Multi-Armed Bandi...
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09/29/2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data
In real-world applications, Federated Learning (FL) meets two challenges...
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08/29/2022
Understanding the Limits of Poisoning Attacks in Episodic Reinforcement Learning
To understand the security threats to reinforcement learning (RL) algori...
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05/31/2022
Learning to Represent Programs with Code Hierarchies
Graph neural networks have been shown to produce impressive results for ...
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05/30/2022
Temporal Multiresolution Graph Neural Networks For Epidemic Prediction
In this paper, we introduce Temporal Multiresolution Graph Neural Networ...
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10/26/2021
Playing Repeated Coopetitive Polymatrix Games with Small Manipulation Cost
Repeated coopetitive games capture the situation when one must efficient...
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10/20/2021
Adversarial Socialbot Learning via Multi-Agent Deep Hierarchical Reinforcement Learning
Socialbots are software-driven user accounts on social platforms, acting...
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05/08/2021
Optimising Resource Management for Embedded Machine Learning
Machine learning inference is increasingly being executed locally on mob...
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05/08/2021
Incremental Training and Group Convolution Pruning for Runtime DNN Performance Scaling on Heterogeneous Embedded Platforms
Inference for Deep Neural Networks is increasingly being executed locall...
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02/15/2021
Secure-UCB: Saving Stochastic Bandits from Poisoning Attacks via Limited Data Verification
This paper studies bandit algorithms under data poisoning attacks in a b...
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01/05/2021
Sequential Choice Bandits with Feedback for Personalizing users' experience
In this work, we study sequential choice bandits with feedback. We propo...
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07/22/2020
Exploiting No-Regret Algorithms in System Design
We investigate a repeated two-player zero-sum game setting where the col...
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06/04/2020
Fuzzy c-Means Clustering for Persistence Diagrams
Persistence diagrams, a key tool in the field of Topological Data Analys...
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03/26/2020
Last Round Convergence and No-Instant Regret in Repeated Games with Asymmetric Information
This paper considers repeated games in which one player has more informa...
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02/27/2020
Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs
Distributed Constraint Optimization Problems (DCOPs) are an important fr...
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11/19/2019
Defending with Shared Resources on a Network
In this paper we consider a defending problem on a network. In the model...
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11/19/2019
Path Planning Problems with Side Observations-When Colonels Play Hide-and-Seek
Resource allocation games such as the famous Colonel Blotto (CB) and Hid...
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11/13/2019
Streaming Bayesian Inference for Crowdsourced Classification
A key challenge in crowdsourcing is inferring the ground truth from nois...
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09/13/2019
AED: An Anytime Evolutionary DCOP Algorithm
Evolutionary optimization is a generic population-based metaheuristic th...
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06/15/2019
Social Cost Guarantees in Smart Route Guidance
We model and study the problem of assigning traffic in an urban road net...
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05/28/2019
Manipulating a Learning Defender and Ways to Counteract
In Stackelberg security games, information about the attacker's type (i....
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05/27/2019
Colonel Blotto and Hide-and-Seek Games as Path Planning Problems with Side Observations
Resource allocation games such as the famous Colonel Blotto (CB) and Hid...
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05/27/2019
Colonel Blotto Games and Hide-and-Seek Games as Path Planning Problems with Side Observations
Resource allocation games such as the famous Colonel Blotto (CB) and Hid...
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05/15/2019
An Empirical Evaluation of Selfish Mining and Strategic Mining in Proof-of-Work Blockchain with Multiple Miners
Nowadays, Bitcoin and Proof-of-Work blockchain systems are becoming prom...
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03/07/2019
Imitative Follower Deception in Stackelberg Games
Uncertainty is one of the major challenges facing applications of game t...
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11/09/2018
On the Inducibility of Stackelberg Equilibrium for Security Games
Strong Stackelberg equilibrium (SSE) is the standard solution concept of...
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10/23/2018
Unifying the stochastic and the adversarial Bandits with Knapsack
This paper investigates the adversarial Bandits with Knapsack (BwK) onli...
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05/05/2018
Designing the Game to Play: Optimizing Payoff Structure in Security Games
Effective game-theoretic modeling of defender-attacker behavior is becom...
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02/06/2018
On the Preliminary Investigation of Selfish Mining Strategy with Multiple Selfish Miners
Eyal and Sirer's selfish mining strategy has demonstrated that Bitcoin s...
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05/10/2014
Functional Bandits
We introduce the functional bandit problem, where the objective is to fi...
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04/09/2012