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pro vyhledávání: '"Mathys, Max"'
This work conducts the first analysis on the robustness against adversarial attacks on self-supervised Vision Transformers trained using DINO. First, we evaluate whether features learned through self-supervision are more robust to adversarial attacks
Externí odkaz:
http://arxiv.org/abs/2206.06761
We present Accept, a simple, asynchronous transaction system that achieves perfect horizontal scaling. Usual blockchain-based transaction systems come with a fundamental throughput limitation as they require that all (potentially unrelated) transacti
Externí odkaz:
http://arxiv.org/abs/2108.05236