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Tuesday, January 14, 2025

OpenVPN Detection Risks: Scaling Attacks and Calls for Stronger Obfuscation
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman,...
Mitigating OpenVPN Fingerprinting: Risks and Defensive Strategies
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman,...
Study Flags OpenVPN Flows with High Accuracy and Minimal False Positives
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, Uni...
OpenVPN Obfuscation Flaws: Study Uncovers Detection Vulnerabilities
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman,...
OpenVPN is Open to VPN Fingerprinting: Real-world Deployment Setup
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, Uni...
Probing UDP and Obfuscated OpenVPN Servers: Leveraging Subnet Proximity
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, University of Michigan; (4) Arham Jain, Merit Network, Inc.; (5) J. Alex Halderman,...
Server Churn Insights: Balancing Efficiency and Accuracy in OpenVPN Probing
:::info Authors: (1) Diwen Xue, University of Michigan; (2) Reethika Ramesh, University of Michigan; (3) Arham Jain, Uni...
Efficient linear recurrences on device
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and wi...
Efficient Training: Scaling Griffin Models for Large-Scale AI on TPUs
:::info Authors: (1) Soham De, Google DeepMind and with Equal contributions; (2) Samuel L. Smith, Google DeepMind and wi...
Bitcoin Shrimps Back To Buying: Supply Share Hits 6.9%
On-chain data shows the Bitcoin Shrimps have been back to accumulation recently as their share of the total supply has risen to 6.9%. Bitcoin Shrimps Now Buying At A Rate Of 17,600 BTC Per Month In a ...
Newswire > Tuesday, January 14, 2025

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