Waseem Abbas

Orcid: 0000-0002-9013-1463

Affiliations:
  • University of Texas at Dallas, Richardson, TX, USA


According to our database1, Waseem Abbas authored at least 74 papers between 2011 and 2025.

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Bibliography

2025
Mitigating Distribution Shift in Graph-Based Android Malware Classification via Function Metadata and LLM Embeddings.
CoRR, August, 2025

Feature Construction Using Network Control Theory and Rank Encoding for Graph Machine Learning.
CoRR, July, 2025

Leaky Forcing in Graphs for Resilient Controllability in Networks.
IEEE Trans. Control. Netw. Syst., March, 2025

Learning Backbones: Sparsifying Graphs through Zero Forcing for Effective Graph-Based Learning.
CoRR, February, 2025

Geometric Methods for Resilient Aggregation and Safe Point Computation in Adversarial Multiagent Networks With Imprecise Data.
IEEE Trans. Signal Inf. Process. over Networks, 2025

Robust Anomaly Detection with Graph Neural Networks Using Controllability.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

PropEnc: A Property Encoder for Graph Neural Networks.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2025

2024
On Zero Forcing Sets and Network Controllability - Computation and Edge Augmentation.
IEEE Trans. Control. Netw. Syst., March, 2024

Distributed Design of Strong Structurally Controllable and Maximally Robust Networks.
IEEE Trans. Netw. Sci. Eng., 2024

A Graph Machine Learning Framework to Compute Zero Forcing Sets in Graphs.
IEEE Trans. Netw. Sci. Eng., 2024

Network Controllability Perspectives on Graph Representation.
IEEE Trans. Knowl. Data Eng., 2024

On the non-resiliency of subsequence reduced resilient consensus in multiagent networks.
Eur. J. Control, 2024

Improving Graph Machine Learning Performance Through Feature Augmentation Based on Network Control Theory.
Proceedings of the 32nd Mediterranean Conference on Control and Automation, 2024

Control-Based Graph Embeddings with Data Augmentation for Contrastive Learning.
Proceedings of the American Control Conference, 2024

2023
Circuit design completion using graph neural networks.
Neural Comput. Appl., June, 2023

Computation of the Distance-Based Bound on Strong Structural Controllability in Networks.
IEEE Trans. Autom. Control., March, 2023

Robustness of Learning in Games With Heterogeneous Players.
IEEE Trans. Autom. Control., March, 2023

Distributed Clustering for Cooperative Multi-Task Learning Networks.
IEEE Trans. Netw. Sci. Eng., 2023

Computing Graph Descriptors on Edge Streams.
ACM Trans. Knowl. Discov. Data, 2023

A Survey of Graph Unlearning.
CoRR, 2023

Enhanced Graph Neural Networks with Ego-Centric Spectral Subgraph Embeddings Augmentation.
Proceedings of the International Conference on Machine Learning and Applications, 2023

2022
Byzantine Resilient Distributed Learning in Multirobot Systems.
IEEE Trans. Robotics, 2022

Edge Augmentation With Controllability Constraints in Directed Laplacian Networks.
IEEE Control. Syst. Lett., 2022

Strong structural controllability of networks: Comparison of bounds using distances and zero forcing.
Autom., 2022

Resilient distributed vector consensus using centerpoint.
Autom., 2022

Resilient Multi-agent Reinforcement Learning Using Medoid and Soft-medoid Based Aggregation.
Proceedings of the IEEE International Conference on Assured Autonomy, 2022

Leader Selection for Strong Structural Controllability in Networks using Zero Forcing Sets.
Proceedings of the American Control Conference, 2022

2021
On the Impacts of Redundancy, Diversity, and Trust in Resilient Distributed State Estimation.
IEEE Trans. Control. Netw. Syst., 2021

Structural Robustness to Noise in Consensus Networks: Impact of Degrees and Distances, Fundamental Limits, and Extremal Graphs.
IEEE Trans. Autom. Control., 2021

NetKI: A kirchhoff index based statistical graph embedding in nearly linear time.
Neurocomputing, 2021

2020
Resilient Distributed Diffusion in Networks With Adversaries.
IEEE Trans. Signal Inf. Process. over Networks, 2020

Graph-Theoretic Approach for Increasing Participation in Networks With Assorted Resources.
IEEE Trans. Netw. Sci. Eng., 2020

Tradeoff Between Controllability and Robustness in Diffusively Coupled Networks.
IEEE Trans. Control. Netw. Syst., 2020

Resilient Distributed Diffusion for Multi-Robot Systems Using Centerpoint.
Proceedings of the Robotics: Science and Systems XVI, 2020

Byzantine Resilient Distributed Multi-Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Resilient multi-robot target pursuit.
Proceedings of the 7th Annual Symposium on Hot Topics in the Science of Security, 2020

Strong Structural Controllability of Diffusively Coupled Networks: Comparison of Bounds Based on Distances and Zero Forcing.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Interplay Between Resilience and Accuracy in Resilient Vector Consensus in Multi-Agent Networks.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Resilient Vector Consensus in Multi-Agent Networks Using Centerpoints.
Proceedings of the 2020 American Control Conference, 2020

Improving Network Robustness through Edge Augmentation While Preserving Strong Structural Controllability.
Proceedings of the 2020 American Control Conference, 2020

2019
On Computation of the Distance-based Bound on Strong Structural Controllability in Networks.
CoRR, 2019

Detection and mitigation of attacks on transportation networks as a multi-stage security game.
Comput. Secur., 2019

A game-theoretic approach for selecting optimal time-dependent thresholds for anomaly detection.
Auton. Agents Multi Agent Syst., 2019

Structural Robustness to Noise in Consensus Networks: Impact of Average Degrees and Average Distances.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Computation of the Distance-based Lower Bound on Strong Structural Controllability in Networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Robustness Of Stochastic Learning Dynamics To Player Heterogeneity In Games.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Trade-off Between Controllability and Robustness in Networks of Diffusively Coupled Agents.
Proceedings of the 2019 American Control Conference, 2019

Diversity and Trust to Increase Structural Robustness in Networks.
Proceedings of the 2019 American Control Conference, 2019

2018
Scheduling Resource-Bounded Monitoring Devices for Event Detection and Isolation in Networks.
IEEE Trans. Netw. Sci. Eng., 2018

Improving Network Connectivity and Robustness Using Trusted Nodes With Application to Resilient Consensus.
IEEE Trans. Control. Netw. Syst., 2018

Synergistic Security for the Industrial Internet of Things: Integrating Redundancy, Diversity, and Hardening.
Proceedings of the IEEE International Conference on Industrial Internet, 2018

2017
Scheduling Battery-Powered Sensor Networks for Minimizing Detection Delays.
IEEE Commun. Lett., 2017

Resilient sensor placement for fault localization in water distribution networks.
Proceedings of the 8th International Conference on Cyber-Physical Systems, 2017

Synergic security for smart water networks: redundancy, diversity, and hardening.
Proceedings of the 3rd International Workshop on Cyber-Physical Systems for Smart Water Networks, 2017

Graph-Theoretic Approach for Increasing Participation in Social Sensing.
Proceedings of the 2nd International Workshop on Social Sensing, 2017

Improving network connectivity using trusted nodes and edges.
Proceedings of the 2017 American Control Conference, 2017

2016
Graph Distances and Controllability of Networks.
IEEE Trans. Autom. Control., 2016

Deploying Robots With Two Sensors in <i>K</i><sub>1, 6</sub>-Free Graphs.
J. Graph Theory, 2016

Vulnerability of Fixed-Time Control of Signalized Intersections to Cyber-Tampering.
CoRR, 2016

Sensor placement for fault location identification in water networks: A minimum test cover approach.
Autom., 2016

Optimal thresholds for intrusion detection systems.
Proceedings of the Symposium and Bootcamp on the Science of Security, 2016

Optimal Thresholds for Anomaly-Based Intrusion Detection in Dynamical Environments.
Proceedings of the Decision and Game Theory for Security - 7th International Conference, 2016

2015
Efficient Complete Coverage Through Heterogeneous Sensing Nodes.
IEEE Wirel. Commun. Lett., 2015

An Efficient Approach to Fault Identification in Urban Water Networks Using Multi-Level Sensing.
Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, 2015

Scheduling Intrusion Detection Systems in Resource-Bounded Cyber-Physical Systems.
Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy, 2015

Guarding networks through heterogeneous mobile guards.
Proceedings of the American Control Conference, 2015

2014
Characterizing heterogeneity in cooperative networks from a resource distribution view-point.
Commun. Inf. Syst., 2014

Immunization against Infection Propagation in Heterogeneous Networks.
Proceedings of the 2014 IEEE 13th International Symposium on Network Computing and Applications, 2014

2013
Energy-efficient data collection in heterogeneous wireless sensor and actor networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
A tight lower bound on the controllability of networks with multiple leaders.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distribution of agents with multiple capabilities in heterogeneous multiagent networks - A graph theoretic view.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Securing multiagent systems against a sequence of intruder attacks.
Proceedings of the American Control Conference, 2012

2011
Distribution of agents in heterogeneous multiagent systems.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Hierarchical assembly of leader-asymmetric, single-leader networks.
Proceedings of the American Control Conference, 2011


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