data poisoning attacks

We demonstrated that some data distributions can be inherently robust to poisoning, and that improving distributional quality can enhance resistance to poisoning attacks.

We demonstrated that some data distributions can be inherently robust to poisoning, and that improving distributional quality can enhance resistance to poisoning attacks.

We introduce a method to manipulate neuron activations while pre-training models, allowing highly successful inference of sensitive properties of the victim’s downstream training data.

We introduce a method to manipulate neuron activations while pre-training models, allowing highly successful inference of sensitive properties of the victim’s downstream training data.

We propose efficient data poisoning attacks that can asymptotically approach a target model with desired properties.

We propose efficient data poisoning attacks that can asymptotically approach a target model with desired properties.

We demonstrated that some data distributions can be inherently robust to poisoning, and that improving distributional quality can enhance resistance to poisoning attacks.