9 citations · 21 across the 8 of their papers we have counts for
4 papers · 1 filter
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…
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…
Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit
Hossein Fereidooni, Jiska Classen, Tom Spink +5
Tens of millions of wearable fitness trackers are shipped yearly to consumers who routinely collect information about their exercising patterns. Smartphones push this health-relate…