most citedAmoeba: Circumventing ML-supported Network Censorship via Adversarial Reinforcement Learning

2 citations · 2 across the 4 of their papers we have counts for

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cs.CR2023★ 2 cited

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…

cs.CR2023

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…

cs.CR2022

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…