Asia
Text-Guided Attention is All You Need for Zero-Shot Robustness in Vision-Language Models Lu Y u
CLIP), have attracted widespread attention and adoption across various domains. Nonetheless, CLIP has been observed to be susceptible to adversarial examples.
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-offs in Distributed Mean Estimation
Privacy and communication constraints are two major bottlenecks in federated learning (FL) and analytics (FA).
Improved Generation of Adversarial Examples Against Safety-aligned LLMs Qizhang Li
Yiwen Guo leads the project and serves as the corresponding author.
Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability
The continued scaling of flash memory technology into smaller process nodes, combined with the increased information capacity of each flash cell (i.e, storing more bits per cell), has placed NAND flash memory at the forefront of modern storage technology.
DisDiff: Unsupervised Disentanglement of Diffusion Probabilistic Models Tao Y ang
DPMs, those inherent factors can be automatically discovered, explicitly represented, and clearly injected into the diffusion process via the sub-gradient fields. To tackle this task, we devise an unsupervised approach named DisDiff, achieving disentangled representation learning in the framework of DPMs.