Ananthram Swami

research

∙ 04/19/2023

HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN

Predicting the throughput of WLAN deployments is a classic problem that ...

0 Hongkuan Zhou, et al. ∙

research

∙ 04/18/2023

Learning to Transmit with Provable Guarantees in Wireless Federated Learning

We propose a novel data-driven approach to allocate transmit power for f...

0 Boning Li, et al. ∙

research

∙ 04/02/2023

Deep Graph Unfolding for Beamforming in MU-MIMO Interference Networks

We develop an efficient and near-optimal solution for beamforming in mul...

0 Arindam Chowdhury, et al. ∙

research

∙ 11/19/2022

Delay-aware Backpressure Routing Using Graph Neural Networks

We propose a throughput-optimal biased backpressure (BP) algorithm for r...

0 Zhongyuan Zhao, et al. ∙

research

∙ 03/27/2022

Distributed Link Sparsification for Scalable Scheduling Using Graph Neural Networks

Distributed scheduling algorithms for throughput or utility maximization...

0 Zhongyuan Zhao, et al. ∙

research

∙ 11/15/2021

Power Allocation for Wireless Federated Learning using Graph Neural Networks

We propose a data-driven approach for power allocation in the context of...

0 Boning Li, et al. ∙

research

∙ 09/14/2021

ML-aided power allocation for Tactical MIMO

We study the problem of optimal power allocation in single-hop multi-ant...

0 Arindam Chowdhury, et al. ∙

research

∙ 09/12/2021

Link Scheduling using Graph Neural Networks

Efficient scheduling of transmissions is a key problem in wireless netwo...

0 Zhongyuan Zhao, et al. ∙

research

∙ 05/19/2021

Free Energy Node Embedding via Generalized Skip-gram with Negative Sampling

A widely established set of unsupervised node embedding methods can be i...

0 Yu Zhu, et al. ∙

research

∙ 12/18/2020

Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions

This is a technical report, containing all the lemma and proposition pro...

0 Liang Ma, et al. ∙

research

∙ 12/18/2020

Identification of Additive Link Metrics: Proof of Selected Theorems

This is a technical report, containing all the theorem proofs in the fol...

0 Liang Ma, et al. ∙

research

∙ 12/17/2020

Efficient Identification of Additive Link Metrics: Theorem Proof and Evaluations

This is a technical report, containing all the theorem proofs and additi...

0 Liang Ma, et al. ∙

research

∙ 12/17/2020

Partial Network Identifiability: Theorem Proof and Evaluation

This is a technical report, containing all the theorem proofs and additi...

0 Liang Ma, et al. ∙

research

∙ 12/17/2020

Link Identifiability with Two Monitors: Proof of Selected Theorems

This is a technical report, containing all the theorem proofs in paper "...

0 Liang Ma, et al. ∙

research

∙ 12/17/2020

Fundamental Theories in Node Failure Localization

This is a technical report, containing all the theorem proofs in paper "...

0 Liang Ma, et al. ∙

research

∙ 12/17/2020

Failure Localization Capability: Theorem Proof and Evaluation

This is a technical report, containing all the theorem proofs and additi...

0 Liang Ma, et al. ∙

research

∙ 12/17/2020

Node Failure Localization: Theorem Proof

This is a technical report, containing all the theorem proofs in paper "...

0 Liang Ma, et al. ∙

research

∙ 11/18/2020

Distributed Scheduling using Graph Neural Networks

A fundamental problem in the design of wireless networks is to efficient...

0 Zhongyuan Zhao, et al. ∙

research

∙ 11/18/2020

Adaptive Contention Window Design using Deep Q-learning

We study the problem of adaptive contention window (CW) design for rando...

0 Abhishek Kumar, et al. ∙

research

∙ 11/09/2020

Resource Allocation in One-dimensional Distributed Service Networks with Applications

We consider assignment policies that allocate resources to users, where ...

0 Nitish K. Panigrahy, et al. ∙

research

∙ 11/05/2020

On the Analysis of Spatially Constrained Power of Two Choice Policies

We consider a class of power of two choice based assignment policies for...

0 Nitish K. Panigrahy, et al. ∙

research

∙ 11/03/2020

You Do (Not) Belong Here: Detecting DPI Evasion Attacks with Context Learning

As Deep Packet Inspection (DPI) middleboxes become increasingly popular,...

0 Shitong Zhu, et al. ∙

research

∙ 10/08/2020

Unsupervised Joint k-node Graph Representations with Compositional Energy-Based Models

Existing Graph Neural Network (GNN) methods that learn inductive unsuper...

0 Leonardo Cotta, et al. ∙

research

∙ 09/17/2020

An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks

Deep neural networks have been shown to be vulnerable to membership infe...

8 Sumit Kumar Jha, et al. ∙

research

∙ 08/26/2020

Measurement-driven Security Analysis of Imperceptible Impersonation Attacks

The emergence of Internet of Things (IoT) brings about new security chal...

5 Shasha Li, et al. ∙

research

∙ 07/19/2020

Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency

There has been a recent surge in research on adversarial perturbations t...

10 Shasha Li, et al. ∙

research

∙ 07/15/2020

GraphCL: Contrastive Self-Supervised Learning of Graph Representations

We propose Graph Contrastive Learning (GraphCL), a general framework for...

56 Hakim Hafidi, et al. ∙

research

∙ 05/16/2020

Topology Inference with Multivariate Cumulants: The Möbius Inference Algorithm

Many tasks regarding the monitoring, management, and design of communica...

0 Kevin D. Smith, et al. ∙

research

∙ 05/06/2020

A Multifactorial Optimization Paradigm for Linkage Tree Genetic Algorithm

Linkage Tree Genetic Algorithm (LTGA) is an effective Evolutionary Algor...

0 Huynh Thi Thanh Binh, et al. ∙

research

∙ 01/13/2020

Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach

The growing demand for edge computing resources, particularly due to inc...

0 Faheem Zafari, et al. ∙

research

∙ 01/02/2020

Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds

Mobile edge computing seeks to provide resources to different delay-sens...

0 Faheem Zafari, et al. ∙

research

∙ 11/07/2019

SENSE: Semantically Enhanced Node Sequence Embedding

Effectively capturing graph node sequences in the form of vector embeddi...

20 Swati Rallapalli, et al. ∙

research

∙ 10/21/2019

Quickest Detection of Growing Dynamic Anomalies in Networks

The problem of quickest growing dynamic anomaly detection in sensor netw...

0 Georgios Rovatsos, et al. ∙

research

∙ 09/19/2019

MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design

In distributed software-defined networks (SDN), multiple physical SDN co...

0 Ziyao Zhang, et al. ∙

research

∙ 04/01/2019

A Game-Theoretic Framework for Resource Sharing in Clouds

Providing resources to different users or applications is fundamental to...

0 Faheem Zafari, et al. ∙

research

∙ 03/14/2019

Attribution-driven Causal Analysis for Detection of Adversarial Examples

Attribution methods have been developed to explain the decision of a mac...

6 Susmit Jha, et al. ∙

research

∙ 01/08/2019

Resource Allocation in One-dimensional Distributed Service Networks

We consider assignment policies that allocate resources to users, where ...

0 Nitish K. Panigrahy, et al. ∙

research

∙ 01/08/2019

A queueing-theoretic model for resource allocation in one-dimensional distributed service network

We consider assignment policies that allocate resources to requesting us...

0 Nitish K. Panigrahy, et al. ∙

research

∙ 08/21/2018

A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds

Mobile edge computing seeks to provide resources to different delay-sens...

0 Faheem Zafari, et al. ∙

research

∙ 07/02/2018

Adversarial Perturbations Against Real-Time Video Classification Systems

Recent research has demonstrated the brittleness of machine learning sys...

6 Shasha Li, et al. ∙

research

∙ 02/12/2018

Multi-Armed Bandits on Unit Interval Graphs

An online learning problem with side information on the similarity and d...

0 Xiao Xu, et al. ∙

research

∙ 01/06/2018

Joint Data Compression and Caching: Approaching Optimality with Guarantees

We consider the problem of optimally compressing and caching data across...

0 Jian Li, et al. ∙

research

∙ 12/25/2017

The Internet of Battle Things

The battlefield of the future will be densely populated by a variety of ...

0 Alexander Kott, et al. ∙

research

∙ 12/10/2017

Optimal Energy Consumption with Communication, Computation, Caching and QoI-Guarantee

Energy efficiency is a fundamental requirement of modern data communicat...

0 Faheem Zafari, et al. ∙

research

∙ 12/10/2017

Optimal Energy Tradeoff among Communication, Computation and Caching with QoI-Guarantee

Many applications must ingest and analyze data that are continuously gen...

0 Faheem Zafari, et al. ∙

research

∙ 09/30/2016

Outlier Detection from Network Data with Subnetwork Interpretation

Detecting a small number of outliers from a set of data observations is ...

0 Xuan-Hong Dang, et al. ∙

research

∙ 06/24/2016

Modeling Group Dynamics Using Probabilistic Tensor Decompositions

We propose a probabilistic modeling framework for learning the dynamic p...

0 Lin Li, et al. ∙

research

∙ 04/28/2016

Crafting Adversarial Input Sequences for Recurrent Neural Networks

Machine learning models are frequently used to solve complex security pr...

0 Nicolas Papernot, et al. ∙

research

∙ 03/31/2016

Extending Detection with Forensic Information

For over a quarter century, security-relevant detection has been driven ...

0 Z. Berkay Celik, et al. ∙

research

∙ 02/08/2016

Practical Black-Box Attacks against Machine Learning

Machine learning (ML) models, e.g., deep neural networks (DNNs), are vul...

0 Nicolas Papernot, et al. ∙

Ananthram Swami

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