6 accepted papers
While linear-complexity attention mechanisms offer a promising alternative to Softmax attention for overcoming the quadratic bottleneck, training such models from scratch remains prohibitively expensive. Inheriting weights from pretrained Transformers provides an appealing shortcut, yet the fundamen…
One prerequisite for secure and reliable artificial intelligence services is tracing the copyright of backend deep neural networks. In the black-box scenario, the copyright of deep neural networks can be traced by their fingerprints, i.e., their outputs on a series of fingerprinting triggers. The…
With continuously evolving generative models and increasingly diverse face forgery products, there is a growing demand for DeepFake detectors with stronger generalization ability and robustness. Previous works mainly capture method-specific forgery artifacts in the training set, thus failing to gene…
Generative image watermarking enables the proactive detection and traceability of generated images. Among existing methods, inversion-based frameworks achieve highly conceal ed watermark embedding by injecting watermarks into the latent representation before the diffusion process. The robustness of…
Lipreading has been rapidly developed recently with the help of large-scale datasets and large models. Despite the significant progress made, the performance of lipreading models still falls short when dealing with unseen speakers. Therefore, it is necessary to utilize the speaker’s videos for fine-…
The broad adoption of continuous prompts has brought state-of-the-art results on a diverse array of downstream natural language processing (NLP) tasks. Nonetheless, little attention has been paid to the interpretability and transferability of continuous prompts. Faced with the challenges, we investi…