Search papers, labs, and topics across Lattice.
Affiliation:
2
0
2
0
Backdoor detection in self-supervised encoders can be achieved with remarkable accuracy by leveraging generative priors, reducing the need for prior knowledge about the encoder or attack strategy.
Backdoor attacks on self-supervised models can be effectively countered without any reliance on labels or training data, achieving substantial performance gains across multiple attack types.
