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20212026
most citedTowards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

14 citations · 16 across the 14 of their papers we have counts for

collaborators

16 papers

cs.CR2026

Effective Pivot Attack Detection via System and Network Information

Ava Powelson, Carson Kuzniar, Hyojoon Kim +1

Perimeter-based security appliances, such as firewalls or Intrusion Detection Systems, are ineffective against modern attacks that use pivoting, wherein attackers "pivot" traffic t…

cs.CR2025

A Comprehensive Survey on Smart Home IoT Fingerprinting: From Detection to Prevention and Practical Deployment

Eduardo Baena, Han Yang, Dimitrios Koutsonikolas +1

Smart homes are increasingly populated with heterogeneous Internet of Things (IoT) devices that interact continuously with users and the environment. This diversity introduces crit…

cs.LG2025

Performance Analysis of Decentralized Federated Learning Deployments

Chengyan Jiang, Jiamin Fan, Talal Halabi +1

The widespread adoption of smartphones and smart wearable devices has led to the widespread use of Centralized Federated Learning (CFL) for training powerful machine learning model…

cs.DC2024★ 2 cited

Fast Prototyping of Distributed Stream Processing Applications with stream2gym

Md. Monzurul Amin Ifath, Miguel Neves, Israat Haque

Stream processing applications have been widely adopted due to real-time data analytics demands, e.g., fraud detection, video analytics, IoT applications. Unfortunately, prototypin…

cs.AI2024

A Generalized Transformer-based Radio Link Failure Prediction Framework in 5G RANs

Kazi Hasan, Thomas Trappenberg, Israat Haque

Radio link failure (RLF) prediction system in Radio Access Networks (RANs) is critical for ensuring seamless communication and meeting the stringent requirements of high data rates…

cs.NI2024

Root Cause Analysis of Anomalies in 5G RAN Using Graph Neural Network and Transformer

Antor Hasan, Conrado Boeira, Khaleda Papry +3

The emergence of 5G technology marks a significant milestone in developing telecommunication networks, enabling exciting new applications such as augmented reality and self-driving…

cs.NI2024

STX-Vote: Improving Reliability with Bit Voting in Synchronous Transmission-based IoT Networks

Burhanuddin Rangwala, Ava Powelson, Michael Baddeley +1

Industrial Internet of Things (IIoT) networks must meet strict reliability, latency, and low energy consumption requirements. However, traditional low-power wireless protocols are…

cs.NI2024

Araucaria: Simplifying INC Fault Tolerance with High-Level Intents

Ricardo Parizotto, Israat Haque, Alberto Schaeffer-Filho

Network programmability allows modification of fine-grain data plane functionality. The performance benefits of data plane programmability have motivated many researchers to offloa…

cs.NI2024

A Calibrated and Automated Simulator for Innovations in 5G

Conrado Boeira, Antor Hasan, Khaleda Papry +3

The rise of 5G deployments has created the environment for many emerging technologies to flourish. Self-driving vehicles, Augmented and Virtual Reality, and remote operations are e…

eess.IV2023

Learn to Compress (LtC): Efficient Learning-based Streaming Video Analytics

Quazi Mishkatul Alam, Israat Haque, Nael Abu-Ghazaleh

Video analytics are often performed as cloud services in edge settings, mainly to offload computation, and also in situations where the results are not directly consumed at the vid…

cs.LG2023

Preventing Discriminatory Decision-making in Evolving Data Streams

Zichong Wang, Nripsuta Saxena, Tongjia Yu +8

Bias in machine learning has rightly received significant attention over the last decade. However, most fair machine learning (fair-ML) work to address bias in decision-making syst…

cs.SE2023★ 14 cited

Towards Fair Machine Learning Software: Understanding and Addressing Model Bias Through Counterfactual Thinking

Zichong Wang, Yang Zhou, David Lo +1

The increasing use of Machine Learning (ML) software can lead to unfair and unethical decisions, thus fairness bugs in software are becoming a growing concern. Addressing these fai…

cs.NI2022

BlueTiSCH: A Multi-PHY Simulation of Low-Power 6TiSCH IoT Networks

Chloe Bae, Shiwen Yang, Michael Baddeley +2

Low-power wireless IoT networks have traditionally operated over a single physical layer (PHY) -- many based on the IEEE 802.15.4 standard. However, recent low-power wireless chips…

cs.CV2022

Attention Mechanism based Cognition-level Scene Understanding

Xuejiao Tang, Wenbin Zhang

Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real wo…

cs.NI2021

ACE: an Accurate and Cost-Effective Measurement System in SDN

Fangye Tang, Meysam Shojaee, Israat Haque

Packet-level traffic measurement is essential in applications like QoS, traffic engineering, or anomaly detection. Software-Defined Networking (SDN) enables efficient and dynamic n…

cs.NI2021

Embedded vs. External Controllers in Software-Defined IoT Networks

Miheer Kulkarni, Michael Baddeley, Israat Haque

The flexible and programmable architectural model offered by Software-Defined Networking (SDN) has re-imagined modern networks. Supported by powerful hardware and high-speed commun…