Explore a groundbreaking deep learning-based flow correlation attack on Tor called DeepCorr in this 27-minute conference talk. Delve into the architecture, data collection methods, and comparison with previous works. Examine the impact of time, flow length, and training set size on the attack's effectiveness. Analyze potential countermeasures and experiments on pluggable transports. Gain insights into the implications for Tor's security and the importance of flow correlation in various attacks on the network.