129 citations · 309 across the 18 of their papers we have counts for
20 papers
Amoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning
Haoyu Liu, Alec F. Diallo, Paul Patras
Embedding covert streams into a cover channel is a common approach to circumventing Internet censorship, due to censors' inability to examine encrypted information in otherwise per…
Android OS Privacy Under the Loupe -- A Tale from the East
Haoyu Liu, Douglas J. Leith, Paul Patras
China is currently the country with the largest number of Android smartphone users. We use a combination of static and dynamic code analysis techniques to study the data transmitte…
TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks
Luyang Xu, Haoyu Liu, Junping Song +4
The Covid-19 pandemic has forced the workforce to switch to working from home, which has put significant burdens on the management of broadband networks and called for intelligent…
NetSentry: A Deep Learning Approach to Detecting Incipient Large-scale Network Attacks
Haoyu Liu, Paul Patras
Machine Learning (ML) techniques are increasingly adopted to tackle ever-evolving high-profile network attacks, including DDoS, botnet, and ransomware, due to their unique ability…
CoronaSurveys: Using Surveys with Indirect Reporting to Estimate the Incidence and Evolution of Epidemics
Oluwasegun Ojo, Augusto García-Agundez, Benjamin Girault +22
The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limit…
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System
Marco Cominelli, Paul Patras, Francesco Gringoli
The recently released Bluetooth 5.1 specification introduces fine-grained positioning capabilities in this wireless technology, which is deemed essential to context-/location-based…