Essays about: "training-time attacks"
Found 3 essays containing the words training-time attacks.
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1. Classifying Google reCAPTCHA v2 - A study using transfer learning models and evaluating their robustness against adversarial perturbations
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : This thesis seeks to examine the suitability and robustness of transfer learning models in creating an efficient reCAPTCHA v2 classifier, and further evaluates their performance against various adversarial attacks. Three models - DenseNet201, EfficientNetV2, and InceptionV3 - were trained and assessed, highlighting the applicability of transfer learning techniques in the classification of reCAPTCHA v2 challenges. READ MORE
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2. A Game-theoretical Framework for Byzantine-Robust Federated Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The distributed nature of Federated Learning (FL) creates security-related vulnerabilities including training-time attacks. Recently, it has been shown that well-known Byzantine-resilient aggregation schemes are indeed vulnerable to an informed adversary who has access to the aggregation scheme and updates sent by clients. READ MORE
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3. Long Short-Term Memory Recurrent Neural Network for detecting DDoS flooding attacks within TensorFlow Implementation framework.
University essay from Luleå tekniska universitet/DatavetenskapAbstract : Distributed Denial of Service (DDoS) attacks is one of the most widespread security attacks to internet service providers. It is the most easily launched attack, but very difficult and expensive to detect and mitigate. READ MORE
