96 citations · 355 across the 27 of their papers we have counts for
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Why Do Facial Deepfake Detectors Fail?
Binh Le, Shahroz Tariq, Alsharif Abuadbba +2
Recent rapid advancements in deepfake technology have allowed the creation of highly realistic fake media, such as video, image, and audio. These materials pose significant challen…
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning
Eldor Abdukhamidov, Mohammed Abuhamad, Simon S. Woo +2
Deep learning methods have gained increased attention in various applications due to their outstanding performance. For exploring how this high performance relates to the proper us…
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
William Aiken, Hyoungshick Kim, Simon Woo
Creating a state-of-the-art deep-learning system requires vast amounts of data, expertise, and hardware, yet research into embedding copyright protection for neural networks has be…