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Invited Talk
in
Workshop: Backdoors in Deep Learning: The Good, the Bad, and the Ugly

Recent Advances in Backdoor Defense and Benchmark

Baoyuan Wu


Abstract:

In this talk, I will firstly introduce recent advances of backdoor defense, covering poisoned sample detection based defense at the pre-training stage, secure training based defense at the in-training stage, and backdoor mitigation based defense at the post-training stage. Then, I will introduce BackdoorBench, which is a comprehensive benchmark containing 30+ mainstream backdoor attack and defense methods, 10,000 pairs of attack-defense evaluations, as well as several interesting findings and analysis with 15+ analysis tools. The benchmark has been released at https://backdoorbench.github.io/.

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