| Methods | code | paper | trainable/fintune? | author | comments |
|---|---|---|---|---|---|
| Text | Text | Text | Text | Text | Text |
| Methods | code | paper | trainable/fintune? | author | comments |
|---|---|---|---|---|---|
| Text | Text | Text | Text | Text | Text |
| Methods | code | paper | blackbox? | year | comments |
|---|---|---|---|---|---|
| Defense Against Adversarial Attacks on Audio DeepFake Detection | https://github.com/piotrkawa/audio-deepfake-adversarial-attacks?tab=readme-ov-file | https://www.isca-archive.org/interspeech_2023/kawa23_interspeech.html | white+black | 2023 | audio |
| Adversarial Magnification to Deceive Deepfake Detection through Super Resolution | https://github.com/davide-coccomini/Adversarial-Magnification-to-Deceive-Deepfake-Detection-through-Super-Resolution | https://arxiv.org/pdf/2407.02670 | blackbox | 2024 | img |
| Turn Fake into Real: Adversarial Head Turn Attacks Against Deepfake Detection | - | https://arxiv.org/abs/2309.01104 | black | 2023 | img |
| Evading DeepFake Detectors via Adversarial Statistical Consistency | https://arxiv.org/pdf/2304.11670 | black-white | 2023 | img |