A Linearly Convergent GAN Inversion-based Algorithm for Reverse Engineering of Deceptions. (arXiv:2306.04756v1 [cs.LG])

An important aspect of developing reliable deep learning systems is devising
strategies that make these systems robust to adversarial attacks. There is a
long line of work that focuses on developing defenses against these attacks,
but recently, researchers have began to study ways to reverse engineer the
attack process. This allows us to not only defend against several attack
models, but also classify the threat model. However, there is still a lack of
theoretical guarantees for the reverse engineering process. …

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