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With the advancement of personalized image generation technologies, concerns about forgery attacks that infringe on portrait rights and privacy are growing. To address these concerns, protection perturbation algorithms have been developed…

Cryptography and Security · Computer Science 2025-08-11 Zelin Li , Ruohan Zong , Yifan Liu , Ruichen Yao , Yaokun Liu , Yang Zhang , Dong Wang

Diffusion models like Stable Diffusion have become prominent in visual synthesis tasks due to their powerful customization capabilities, which also introduce significant security risks, including deepfakes and copyright infringement. In…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Wenkui Yang , Jie Cao , Junxian Duan , Ran He

Intellectual property protection(IPP) have received more and more attention recently due to the development of the global e-commerce platforms. brand recognition plays a significant role in IPP. Recent studies for brand recognition and…

Computer Vision and Pattern Recognition · Computer Science 2020-12-15 Xuan Jin , Wei Su , Rong Zhang , Yuan He , Hui Xue

Research on Offline Handwritten Signature Verification explored a large variety of handcrafted feature extractors, ranging from graphology, texture descriptors to interest points. In spite of advancements in the last decades, performance of…

Computer Vision and Pattern Recognition · Computer Science 2017-05-17 Luiz G. Hafemann , Robert Sabourin , Luiz S. Oliveira

Deterministic positioning and assembly of colloidal nanoparticles (NPs) onto substrates is a core requirement and a promising alternative to top down lithography to create functional nanostructures and nanodevices with intriguing optical,…

Physical unclonable functions (PUFs), physical objects that are practically unclonable because of their andom and uncontrollable manufacturing variations, are becoming increasingly popular as security primitives and unique identifiers in a…

Cryptography and Security · Computer Science 2022-12-26 E. Marakis , U. Rührmair , M. Lachner , R. Uppu , B. Škorić , P. W. H. Pinkse

Nonrigid point set registration is widely applied in the tasks of computer vision and pattern recognition. Coherent point drift (CPD) is a classical method for nonrigid point set registration. However, to solve spatial transformation…

Computer Vision and Pattern Recognition · Computer Science 2020-06-12 Xiang-Wei Feng , Da-Zheng Feng , Yun Zhu

Security labels combining facile structural color readout and physically unclonable one-way function (PUF) approach provide promising strategy for fighting against forgery of marketable products. Here, we justify direct femtosecond-laser…

Current consumer-protection debates focus on the powerful new data-analysis techniques that have disrupted the balance of power between companies and their customers. Online tracking enables sellers to amass troves of historical data, apply…

General Economics · Economics 2024-12-31 Gregory M. Dickinson

The onward development of information and communication technology has led to a new industrial revolution called Industry 4.0. This revolution involves Cyber-Physical Production Systems (CPPS), which consist of intelligent Cyber-Physical…

Cryptography and Security · Computer Science 2019-05-16 David Hofbauer , Igor Ivkic , Silia Maksuti , Andreas Aldrian , Markus Tauber

Collecting and analyzing massive data generated from smart devices have become increasingly pervasive in crowdsensing, which are the building blocks for data-driven decision-making. However, extensive statistics and analysis of such data…

Cryptography and Security · Computer Science 2021-01-29 Teng Wang , Xuefeng Zhang , Jingyu Feng , Xinyu Yang

Additive Manufacturing (AM, or 3D printing) is a novel manufacturing technology that is being adopted in industrial and consumer settings. However, the reliance of this technology on computerization has raised various security concerns. In…

Cryptography and Security · Computer Science 2017-05-19 Sofia Belikovetsky , Yosef Solewicz , Mark Yampolskiy , Jinghui Toh , Yuval Elovici

Image data has been greatly produced by individuals and commercial vendors in the daily life, and it has been used across various domains, like advertising, medical and traffic analysis. Recently, image data also appears to be greatly…

Machine Learning · Computer Science 2020-02-11 Sen Wang , J. Morris Chang

Industrial control systems are a fundamental component of critical infrastructure networks (CIN) such as gas, water and power. With the growing risk of cyberattacks, regulatory compliance requirements are also increasing for large scale…

Cryptography and Security · Computer Science 2025-11-18 Paritosh Ramanan , H. M. Mohaimanul Islam , Abhiram Reddy Alugula

Given a dataset of $n$ i.i.d. samples from an unknown distribution $P$, we consider the problem of generating a sample from a distribution that is close to $P$ in total variation distance, under the constraint of differential privacy (DP).…

Data Structures and Algorithms · Computer Science 2023-06-23 Badih Ghazi , Xiao Hu , Ravi Kumar , Pasin Manurangsi

Direct Preference Optimization (DPO) has emerged as a stable, scalable, and efficient solution for language model alignment. Despite its empirical success, the optimization properties, particularly the impact of samplers on its convergence…

Machine Learning · Computer Science 2025-02-04 Ruizhe Shi , Runlong Zhou , Simon S. Du

Sparse-view Computed Tomography (CT) image reconstruction is a promising approach to reduce radiation exposure, but it inevitably leads to image degradation. Although diffusion model-based approaches are computationally expensive and suffer…

Image and Video Processing · Electrical Eng. & Systems 2024-03-15 Hanyu Chen , Zhixiu Hao , Lin Guo , Liying Xiao

Additive manufacturing, or 3D printing, is a promising manufacturing technique marred by product deformation due to material solidification in the printing process. Control of printed product deformation can be achieved by a compensation…

Applications · Statistics 2014-11-14 Arman Sabbaghi , Tirthankar Dasgupta , Qiang Huang , Jizhe Zhang

We consider online change detection of high dimensional data streams with sparse changes, where only a subset of data streams can be observed at each sensing time point due to limited sensing capacities. On the one hand, the detection…

Machine Learning · Statistics 2020-09-23 Jie Guo , Hao Yan , Chen Zhang , Steven Hoi

Image copy detection is an important task for content moderation. We introduce SSCD, a model that builds on a recent self-supervised contrastive training objective. We adapt this method to the copy detection task by changing the…

Computer Vision and Pattern Recognition · Computer Science 2022-03-29 Ed Pizzi , Sreya Dutta Roy , Sugosh Nagavara Ravindra , Priya Goyal , Matthijs Douze
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