Yaohua Liu

Learning with Bilevel-Minimax Optimization for Efficient and Reliable Transfer Attacks

This work proposes BMAT (Bilevel-Minimax Adversarial Transfer), an integrated bottom-up solver that combines a Soft Weight Modulator and an Implicit Gradient Approximator to enable ternary coupling among initialization, surrogate adaptation, and perturbation optimization.