Adversarial Robustness through Local Linearization
Chongli Qin, James Martens, Sven Gowal, Dilip Krishnan, Krishnamurthy Dvijotham, Alhussein Fawzi, Soham De, Robert Stanforth, Pushmeet Kohli
–Neural Information Processing Systems
Adversarial training is an effective methodology to train deep neural networks which arerobustagainstadversarial, norm-bounded perturbations. However,the computational cost of adversarial training grows prohibitively as the size of the model and number of input dimensions increase.
Neural Information Processing Systems
Feb-11-2026, 11:07:47 GMT