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

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

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…