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BackdoorBench is a comprehensive benchmark for evaluating backdoor attacks and defenses.
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BackdoorBench
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2025-12-26 11:41:18
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BackdoorBench Home Docs Model Zoo Leaderboard CIFAR-10 CIFAR-100 GTSRB Tiny ImageNet Team Github BackdoorBench A Comprehensive Benchmark for Evaluating Backdoor Attacks and Defenses Get Started Backdoor learning is an emerging topic of studying the adversarial vulnerability of machine learning models during the training stage. Many backdoor attack and defense methods have been developed in recent ML and Security conferences/journals. It is important to build a benchmark to review the current progress and facilitate future research in backdoor learning. BackdoorBench aims to provide an easy implementation of both backdoor attack and backdoor defense methods to facilitate future research, as well as a comprehensive evaluation of existing attack and defense methods. ...
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