37 citations · 72 across the 8 of their papers we have counts for
10 papers
Prompt Stealing Attacks Against Text-to-Image Generation Models
Xinyue Shen, Yiting Qu, Michael Backes +1
Text-to-Image generation models have revolutionized the artwork design process and enabled anyone to create high-quality images by entering text descriptions called prompts. Creati…
Backdoor Attacks in the Supply Chain of Masked Image Modeling
Xinyue Shen, Xinlei He, Zheng Li +3
Masked image modeling (MIM) revolutionizes self-supervised learning (SSL) for image pre-training. In contrast to previous dominating self-supervised methods, i.e., contrastive lear…
Minimizing Oracle-Structured Composite Functions
Xinyue Shen, Alnur Ali, Stephen Boyd
We consider the problem of minimizing a composite convex function with two different access methods: an oracle, for which we can evaluate the value and gradient, and a structured f…
Confidence bands for a log-concave density
Guenther Walther, Alnur Ali, Xinyue Shen +1
We present a new approach for inference about a log-concave distribution: Instead of using the method of maximum likelihood, we propose to incorporate the log-concavity constraint…
Nonconvex Sparse Logistic Regression with Weakly Convex Regularization
Xinyue Shen, Yuantao Gu
In this work we propose to fit a sparse logistic regression model by a weakly convex regularized nonconvex optimization problem. The idea is based on the finding that a weakly conv…
Linearized ADMM for Non-convex Non-smooth Optimization with Convergence Analysis
Qinghua Liu, Xinyue Shen, Yuantao Gu
Linearized alternating direction method of multipliers (ADMM) as an extension of ADMM has been widely used to solve linearly constrained problems in signal processing, machine lean…
A Distributed Method for Optimal Capacity Reservation
Nicholas Moehle, Xinyue Shen, Zhi-Quan Luo +1
We consider the problem of reserving link capacity in a network in such a way that any of a given set of flow scenarios can be supported. In the optimal capacity reservation proble…
Disciplined Multi-Convex Programming
Xinyue Shen, Steven Diamond, Madeleine Udell +2
A multi-convex optimization problem is one in which the variables can be partitioned into sets over which the problem is convex when the other variables are fixed. Multi-convex pro…
Disciplined Convex-Concave Programming
Xinyue Shen, Steven Diamond, Yuantao Gu +1
In this paper we introduce disciplined convex-concave programming (DCCP), which combines the ideas of disciplined convex programming (DCP) with convex-concave programming (CCP). Co…
Restricted Isometry Property of Subspace Projection Matrix Under Random Compression
Xinyue Shen, Yuantao Gu
Structures play a significant role in the field of signal processing. As a representative of structural data, low rank matrix along with its restricted isometry property (RIP) has…