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adversarial transferability

topic1 events
papersSEP 10 04:00 UTC

Study Probes Why Adversarial Examples Transfer Between Deepfake Detectors

A new arXiv paper examines the conditions under which adversarial inputs crafted against one deepfake detector also fool other detectors an attacker has never seen. The work focuses on how the relationship between the surrogate model used to generate attacks and the target model influences attack success. The findings could inform the design of detectors that better withstand such black-box attacks.

deepfakes/adversarial-ml/security/research