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Real is not True: Backdoor Attacks Against Deepfake Detection
March 12, 2024, 4:10 a.m. | Hong Sun, Ziqiang Li, Lei Liu, Bin Li
cs.CR updates on arXiv.org arxiv.org
Abstract: The proliferation of malicious deepfake applications has ignited substantial public apprehension, casting a shadow of doubt upon the integrity of digital media. Despite the development of proficient deepfake detection mechanisms, they persistently demonstrate pronounced vulnerability to an array of attacks. It is noteworthy that the pre-existing repertoire of attacks predominantly comprises adversarial example attack, predominantly manifesting during the testing phase. In the present study, we introduce a pioneering paradigm denominated as Bad-Deepfake, which represents a …
applications array arxiv attacks backdoor backdoor attacks casting cs.cr deepfake deepfake detection detection development digital digital media doubt integrity malicious media proliferation public real shadow vulnerability
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