PUREVQ-GAN: Defending Data Poisoning Attacks through Vector-Quantized Bottlenecks

Alexander Branch, Omead Pooladzandi, Radin Khosraviani +3

We introduce PureVQ-GAN, a defense against data poisoning that forces backdoor triggers through a discrete bottleneck using Vector-Quantized VAE with GAN discriminator. By quantizi…