2 papers
cs.CV2024
Generalize Your Face Forgery Detectors: An Insertable Adaptation Module Is All You Need
Xiaotian Si, Linghui Li, Liwei Zhang +4
A plethora of face forgery detectors exist to tackle facial deepfake risks. However, their practical application is hindered by the challenge of generalizing to forgeries unseen du…
cs.IR2024
Boosting the Targeted Transferability of Adversarial Examples via Salient Region & Weighted Feature Drop
Shanjun Xu, Linghui Li, Kaiguo Yuan +1
Deep neural networks can be vulnerable to adversarially crafted examples, presenting significant risks to practical applications. A prevalent approach for adversarial attacks relie…