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cs.CV2023
Initialization Matters for Adversarial Transfer Learning
Andong Hua, Jindong Gu, Zhiyu Xue +3
With the prevalence of the Pretraining-Finetuning paradigm in transfer learning, the robustness of downstream tasks has become a critical concern. In this work, we delve into adver…
cs.CV2020
Evading Deepfake-Image Detectors with White- and Black-Box Attacks
Nicholas Carlini, Hany Farid
It is now possible to synthesize highly realistic images of people who don't exist. Such content has, for example, been implicated in the creation of fraudulent social-media profil…