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20222024
most citedAdversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey

19 citations · 32 across the 6 of their papers we have counts for

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6 papers

cs.CV2024

Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models

Wanrong Zhu, Jennifer Healey, Ruiyi Zhang +2

Recent advancements in instruction-following models have made user interactions with models more user-friendly and efficient, broadening their applicability. In graphic design, non…

cs.LG20235 cited

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction

Chengqing Yu, Fei Wang, Zezhi Shao +3

Multivariate time series long-term prediction, which aims to predict the change of data in a long time, can provide references for decision-making. Although transformer-based model…

cs.RO2023

Scale jump-aware pose graph relaxation for monocular SLAM with re-initializations

Runze Yuan, Ran Cheng, Lige Liu +2

Pose graph relaxation has become an indispensable addition to SLAM enabling efficient global registration of sensor reference frames under the objective of satisfying pair-wise rel…

cs.CV20238 cited

Enhancing Detail Preservation for Customized Text-to-Image Generation: A Regularization-Free Approach

Yufan Zhou, Ruiyi Zhang, Tong Sun +1

Recent text-to-image generation models have demonstrated impressive capability of generating text-aligned images with high fidelity. However, generating images of novel concept pro…

cs.LG202319 cited

Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey

Yulong Wang, Tong Sun, Shenghong Li +4

Adversarial attacks and defenses in machine learning and deep neural network have been gaining significant attention due to the rapidly growing applications of deep learning in the…

cs.SD2022

Individualized Conditioning and Negative Distances for Speaker Separation

Tao Sun, Nidal Abuhajar, Shuyu Gong +5

Speaker separation aims to extract multiple voices from a mixed signal. In this paper, we propose two speaker-aware designs to improve the existing speaker separation solutions. Th…