A Control Theoretic Approach for Throughput Optimization in IEEE 802.11e EDCA WLANs. - Paul Patras; Albert Banchs; Pablo Serrano 001 (Mob. Networks Appl., 2009)

Optimal Configuration of 802.11e EDCA for Real-Time and Data Traffic. - Pablo Serrano 001; Albert Banchs; Paul Patras; Arturo Azcorra (IEEE Trans. Veh. Technol., 2010)

On the scalability of carrier-grade mesh network architectures. - Johannes Lessmann; Antonio de la Oliva; Cigdem Sengul; Andres Garcia-Saavedra; Mathias Kretschmer; Seán Murphy; Paul Patras (Future Network & Mobile Summit, 2011)

A Control-Theoretic Approach to Distributed Optimal Configuration of 802.11 WLANs. - Paul Patras; Albert Banchs; Pablo Serrano 001; Arturo Azcorra (IEEE Trans. Mob. Comput., 2011)

A modular, flexible and virtualizable framework for IEEE 802.11. - Pablo Salvador; Stefano Paris; Claudio Pisa; Paul Patras; Yan Grunenberger; Xavier Pérez Costa; Janusz Gozdecki (Future Network & Mobile Summit, 2012)

Exploiting the capture effect to improve WLAN throughput. - Paul Patras; Hanghang Qi; David Malone (WOWMOM, 2012)

Greening wireless communications: Status and future directions. - Pablo Serrano 001; Antonio de la Oliva; Paul Patras; Vincenzo Mancuso; Albert Banchs (Comput. Commun., 2012)

Providing Throughput and Fairness Guarantees in Virtualized WLANs Through Control Theory. - Albert Banchs; Pablo Serrano 001; Paul Patras; Marek Natkaniec (Mob. Networks Appl., 2012)

A control theoretic scheme for efficient video transmission over IEEE 802.11e EDCA WLANs. - Paul Patras; Albert Banchs; Pablo Serrano 001 (ACM Trans. Multim. Comput. Commun. Appl., 2012)

Mobile Access of Wide-Spectrum Networks: Design, deployment and experimental evaluation. - Anastasios Giannoulis; Paul Patras; Edward W. Knightly (INFOCOM, 2013)

802.11 Buffers: When Bigger Is Not Better? - David Malone; Hanghang Qi; Dmitri Botvich; Paul Patras (WiFlex, 2013)

Practical node policing in 802.11WLANs. - Hessan Feghhi; Paul Patras; David Malone (WOWMOM, 2013)

Control theoretic optimization of 802.11 WLANs: Implementation and experimental evaluation. - Pablo Serrano 001; Paul Patras; Andrea Mannocci; Vincenzo Mancuso; Albert Banchs (Comput. Networks, 2013)

Policing 802.11 MAC Misbehaviour. - Paul Patras; Hessan Feghhi; David Malone; Douglas J. Leith (CoRR, 2013)

Mitigating collisions through power-hopping to improve 802.11 performance. - Paul Patras; Hanghang Qi; David Malone (Pervasive Mob. Comput., 2014)

LTE/Wi-Fi co-existence under scrutiny: an empirical study. - C. Capretti; Francesco Gringoli; Nicolò Facchi; Paul Patras (WiNTECH, 2016)

WiHaul: max-min fair wireless backhauling over multi-hop millimetre-wave links. - Rui Li 052; Paul Patras (HotWireless@MobiCom, 2016)

When is the right time to transmit in multi-hop White-Fi? - Nicolò Facchi; Francesco Gringoli; David Malone; Paul Patras (WoWMoM, 2016)

Learning from experience: Efficient decentralized scheduling for 60GHz mesh networks. - Gek Hong Sim; Rui Li 052; Cristina Cano; David Malone; Paul Patras; Joerg Widmer (WoWMoM, 2016)

Rigorous and practical proportional-fair allocation for multi-rate Wi-Fi. - Paul Patras; Andres Garcia-Saavedra; David Malone; Douglas J. Leith (Ad Hoc Networks, 2016)

Policing 802.11 MAC Misbehaviours. - Paul Patras; Hessan Feghhi; David Malone; Douglas J. Leith (IEEE Trans. Mob. Comput., 2016)

ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network. - Chaoyun Zhang; Xi Ouyang; Paul Patras (CoNEXT, 2017)

Breaking Fitness Records Without Moving: Reverse Engineering and Spoofing Fitbit. - Hossein Fereidooni; Jiska Classen; Tom Spink; Paul Patras; Markus Miettinen; Ahmad-Reza Sadeghi; Matthias Hollick; Mauro Conti (RAID, 2017)

Imola: A decentralised learning-driven protocol for multi-hop White-Fi. - Nicolò Facchi; Francesco Gringoli; David Malone; Paul Patras (Comput. Commun., 2017)

Max-Min Fair Millimetre-Wave Backhauling. - Rui Li 052; Paul Patras (CoRR, 2017)

A Flexible Framework for Debugging IoT Wireless Applications. - Francesco Gringoli; Nahla M. Ali; Fabrizio Guerrini; Paul Patras (MetroInd4.0&IoT, 2018)

Delmu: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls. - Rui Li 052; Chaoyun Zhang; Pan Cao; Paul Patras; John S. Thompson (MLN, 2018)

Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks. - Chaoyun Zhang; Paul Patras (MobiHoc, 2018)

Maximising the utility of enterprise millimetre-wave networks. - Nicolò Facchi; Francesco Gringoli; Paul Patras (Comput. Commun., 2018)

Anatomy of a Vulnerable Fitness Tracking System: Dissecting the Fitbit Cloud, App, and Firmware. - Jiska Classen; Daniel Wegemer; Paul Patras; Tom Spink; Matthias Hollick (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks. - Rui Li 052; Chaoyun Zhang; Paul Patras; Razvan Stanica; Fabrice Valois (SIGMETRICS Perform. Evaluation Rev., 2018)

ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum. - Andres Garcia-Saavedra; Paul Patras; Víctor Valls; Xavier Pérez Costa; Douglas J. Leith (IEEE/ACM Trans. Netw., 2018)

Performance Assessment of Open Software Platforms for 5G Prototyping. - Francesco Gringoli; Paul Patras; Carlos Donato; Pablo Serrano 001; Yan Grunenberger (IEEE Wirel. Commun., 2018)

Multi-Service Mobile Traffic Forecasting via Convolutional Long Short-Term Memories. - Chaoyun Zhang; Marco Fiore 001; Paul Patras (M&N, 2019)

Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System. - Marco Cominelli; Paul Patras; Francesco Gringoli (WiNTECH, 2019)

Uncovering Security Vulnerabilities in the Belkin WeMo Home Automation Ecosystem. - Haoyu Liu; Tom Spink; Paul Patras (PerCom Workshops, 2019)

Deep Learning in Mobile and Wireless Networking: A Survey. - Chaoyun Zhang; Paul Patras; Hamed Haddadi (IEEE Commun. Surv. Tutorials, 2019)

Tiki-Taka: Attacking and Defending Deep Learning-based Intrusion Detection Systems. - Chaoyun Zhang; Xavier Costa-Pérez; Paul Patras (CCSW, 2020)

On the Struggle Bus: A Detailed Security Analysis of the m-tickets App. - Jorge Sanz Maroto; Haoyu Liu; Paul Patras (ISC, 2020)

One GPU to Snoop Them All: a Full-Band Bluetooth Low Energy Sniffer. - Marco Cominelli; Paul Patras; Francesco Gringoli (MedComNet, 2020)

Microscope: mobile service traffic decomposition for network slicing as a service. - Chaoyun Zhang; Marco Fiore 001; Cezary Ziemlicki; Paul Patras (MobiCom, 2020)

Even Black Cats Cannot Stay Hidden in the Dark: Full-band De-anonymization of Bluetooth Classic Devices. - Marco Cominelli; Francesco Gringoli; Paul Patras; Margus Lind; Guevara Noubir (SP, 2020)

Driver Behavior Recognition via Interwoven Deep Convolutional Neural Nets With Multi-Stream Inputs. - Chaoyun Zhang; Rui Li 052; Woojin Kim; Daesub Yoon; Paul Patras (IEEE Access, 2020)

A Machine-Learning-Based Framework for Optimizing the Operation of Future Networks. - Claudio Fiandrino; Chaoyun Zhang; Paul Patras; Albert Banchs; Joerg Widmer (IEEE Commun. Mag., 2020)

CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics. - Oluwasegun Ojo; Augusto García-Agundez; Benjamin Girault; Harold Hernández; Elisa Cabana; Amanda García-García; Payman Arabshahi; Carlos Baquero; Paolo Casari; Ednaldo José Ferreira; Davide Frey; Chryssis Georgiou; et al. (CoRR, 2020)

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls. - Rui Li 052; Paul Patras (IEEE Trans. Mob. Comput., 2020)

CloudLSTM: A Recurrent Neural Model for Spatiotemporal Point-cloud Stream Forecasting. - Chaoyun Zhang; Marco Fiore 001; Iain Murray 001; Paul Patras (AAAI, 2021)

Spider: Deep Learning-driven Sparse Mobile Traffic Measurement Collection and Reconstruction. - Yini Fang; Alec F. Diallo; Chaoyun Zhang; Paul Patras (GLOBECOM, 2021)

Adaptive Clustering-based Malicious Traffic Classification at the Network Edge. - Alec F. Diallo; Paul Patras (INFOCOM, 2021)

An Experimental Evaluation of MQTT Authentication and Authorization in IoT. - Michael Michaelides; Cigdem Sengul; Paul Patras (WiNTECH, 2021)

Deep Reinforcement Learning-Based Beam Training for Spatially Consistent Millimeter Wave Channels. - Narengerile; John S. Thompson; Paul Patras; Tharmalingam Ratnarajah (PIMRC, 2021)

NetSentry: A deep learning approach to detecting incipient large-scale network attacks. - Haoyu Liu; Paul Patras (Comput. Commun., 2022)

TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks. - Luyang Xu; Haoyu Liu; Junping Song; Rui Li 052; Yahui Hu; Xu Zhou; Paul Patras (CoRR, 2022)

Deep reinforcement learning-based beam training with energy and spectral efficiency maximisation for millimetre-wave channels. - Narengerile; John Thompson 001; Paul Patras; Tharmalingam Ratnarajah (EURASIP J. Wirel. Commun. Netw., 2022)

SDGNet: A Handover-Aware Spatiotemporal Graph Neural Network for Mobile Traffic Forecasting. - Yini Fang; Salih Ergüt; Paul Patras (IEEE Commun. Lett., 2022)

Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms. - Chaoyun Zhang; Xavier Costa-Pérez; Paul Patras (IEEE/ACM Trans. Netw., 2022)

VAMP: A Predictive Approach to Audio/Video Bitrate Adaptation Over Wireless Networks. - Weihe Li; Jiawei Huang 001; Wenjun Lyu; Jianxin Wang 001; Paul Patras (IEEE Wirel. Commun. Lett., 2022)

Tight-Sketch: A High-Performance Sketch for Heavy Item-Oriented Data Stream Mining with Limited Memory Size. - Weihe Li; Paul Patras (CIKM, 2023)

Android OS Privacy Under the Loupe - A Tale from the East. - Haoyu Liu; Douglas J. Leith; Paul Patras (WISEC, 2023)

Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning. - Haoyu Liu; Alec F. Diallo; Paul Patras (PACMNET, 2023)

TransMUSE: Transferable Traffic Prediction in MUlti-Service Edge Networks. - Luyang Xu; Haoyu Liu; Junping Song; Rui Li 052; Yahui Hu; Xu Zhou; Paul Patras (Comput. Networks, 2023)

Towards 6G: Architectural Innovations and Challenges in the ORIGAMI Framework. - Livia Elena Chatzieleftheriou; Marco Gramaglia; Andres Garcia-Saavedra; Steffen Gebert; Gines Garcia-Aviles; Stefan Geissler; Marco Fiore 001; Paul Patras; Andra Lutu; Dimitris Tsolkas; Md. Arifur Rahman (EuCNC/6G Summit, 2024)

Sabre: Cutting through Adversarial Noise with Adaptive Spectral Filtering and Input Reconstruction. - Alec F. Diallo; Paul Patras (SP, 2024)

Stable-Sketch: A Versatile Sketch for Accurate, Fast, Web-Scale Data Stream Processing. - Weihe Li; Paul Patras (WWW, 2024)

Neural Networks Decoded: Targeted and Robust Analysis of Neural Network Decisions via Causal Explanations and Reasoning. - Alec F. Diallo; Vaishak Belle; Paul Patras (CoRR, 2024)

Deciphering Clusters With a Deterministic Measure of Clustering Tendency. - Alec F. Diallo; Paul Patras (IEEE Trans. Knowl. Data Eng., 2024)

P-Sketch: A Fast and Accurate Sketch for Persistent Item Lookup. - Weihe Li; Paul Patras (IEEE/ACM Trans. Netw., 2024)

Cluster and Conquer: Malicious Traffic Classification at the Edge. - Alec F. Diallo; Paul Patras (IEEE Trans. Netw. Serv. Manag., 2024)

Pontus: A Memory-Efficient and High-Accuracy Approach for Persistence-Based Item Lookup in High-Velocity Data Streams. - Weihe Li; Zukai Li; Beyza Bütün; Alec F. Diallo; Marco Fiore 001; Paul Patras (WWW, 2025)