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In recent years, there have been several works that use website fingerprinting techniques to enable a local adversary to determine which website a Tor user visits. While the current state-of-the-art attack, which uses deep learning, outperforms prior art with medium to large amounts of data, it attains marginal to no accuracy improvements when both use small amounts of training data. In this work, we propose Var-CNN, a website fingerprinting attack that leverages deep learning techniques alongdoi:10.2478/popets-2019-0070 dblp:journals/popets/BhatLKD19 fatcat:hjgdmdykkfbpfoldank4hi2sqi