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03/06/2023
Learning to Backdoor Federated Learning
In a federated learning (FL) system, malicious participants can easily e...
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11/18/2022
Pandering in a Flexible Representative Democracy
In representative democracies, the election of new representatives in re...
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04/29/2022
Towards Optimal Tradeoff Between Data Freshness and Update Cost in Information-update Systems
In this paper, we consider a discrete-time information-update system, wh...
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08/06/2021
Joint AP Probing and Scheduling: A Contextual Bandit Approach
We consider a set of APs with unknown data rates that cooperatively serv...
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11/01/2020
Robust Sequence Submodular Maximization
Submodularity is an important property of set functions and has been ext...
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02/24/2020
Spatial-Temporal Moving Target Defense: A Markov Stackelberg Game Model
Moving target defense has emerged as a critical paradigm of protecting a...
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10/22/2019
Structure Matters: Towards Generating Transferable Adversarial Images
Recent works on adversarial examples for image classification focus on d...
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10/14/2019
Placement and Allocation of Virtual Network Functions: Multi-dimensional Case
Network function virtualization (NFV) is an emerging design paradigm tha...
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05/30/2019
Optimal Timing of Moving Target Defense: A Stackelberg Game Model
As an effective approach to thwarting advanced attacks, moving target de...
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09/08/2018
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples
Adversarial examples are perturbed inputs designed to fool machine learn...
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05/23/2018
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
We study multi-armed bandit problems with graph feedback, in which the d...
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03/20/2018
An Online Algorithm for Power-proportional Data Centers with Switching Cost
Recent works show that power-proportional data centers can save energy c...
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02/03/2017
LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications
Mobile applications (apps) often transmit sensitive data through network...
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12/01/2016