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Publication search results
found 154 matches
- 2024
- Hassan A. Shafei, Hongchang Gao, Chiu C. Tan:
Measuring privacy policy compliance in the Alexa ecosystem: In-depth analysis. Comput. Secur. 144: 103963 (2024) - Xiaoxiao Meng:
Conceptualizing and measuring privacy boundary turbulence in technological contexts: Constructing a measurement scale. Inf. Process. Manag. 61(2): 103658 (2024) - Henry Hosseini, Christine Utz, Martin Degeling, Thomas Hupperich:
A Bilingual Longitudinal Analysis of Privacy Policies Measuring the Impacts of the GDPR and the CCPA/CPRA. Proc. Priv. Enhancing Technol. 2024(2): 434-463 (2024) - Ruijun Deng, Shijing Hu, Junxiong Lin, Jirui Yang, Zhihui Lu, Jie Wu, Shih-Chia Huang, Qiang Duan:
InvMetrics: Measuring Privacy Risks for Split Model-Based Customer Behavior Analysis. IEEE Trans. Consumer Electron. 70(1): 4168-4177 (2024) - Van Hong Tran, Aarushi Mehrotra, Marshini Chetty, Nick Feamster, Jens Frankenreiter, Lior Jacob Strahilevitz:
Measuring Compliance with the California Consumer Privacy Act Over Space and Time. CHI 2024: 785:1-785:19 - Levente Alekszejenkó, Tadeusz P. Dobrowiecki:
A V2X-based Privacy Preserving Federated Measuring and Learning System. CoRR abs/2401.13848 (2024) - Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri:
Measuring Privacy Loss in Distributed Spatio-Temporal Data. CoRR abs/2402.11526 (2024) - Van Hong Tran, Aarushi Mehrotra, Marshini Chetty, Nick Feamster, Jens Frankenreiter, Lior Jacob Strahilevitz:
Measuring Compliance with the California Consumer Privacy Act Over Space and Time. CoRR abs/2403.17225 (2024) - 2023
- Trung Tin Nguyen:
Understanding and measuring privacy violations in Android apps. Saarland University, Saarbrücken, Germany, 2023 - Jingyu Jia, Chang Tan, Zhewei Liu, Xinhao Li, Zheli Liu, Siyi Lv, Changyu Dong:
Total variation distance privacy: Accurately measuring inference attacks and improving utility. Inf. Sci. 626: 537-558 (2023) - Julián Salas:
Sanitizing and measuring privacy of large sparse datasets for recommender systems. J. Ambient Intell. Humaniz. Comput. 14(11): 15073-15084 (2023) - Tobias Fiebig, Seda F. Gürses, Carlos Gañán, Erna Kotkamp, Fernando Kuipers, Martina Lindorfer, Menghua Prisse, Taritha Sari:
Heads in the Clouds? Measuring Universities' Migration to Public Clouds: Implications for Privacy & Academic Freedom. Proc. Priv. Enhancing Technol. 2023(2): 117-150 (2023) - Jost Bartol, Vasja Vehovar, Andraz Petrovcic:
Systematic review of survey scales measuring information privacy concerns on social network sites. Telematics Informatics 85: 102063 (2023) - Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI 2023: 16380-16381 - Yufan Chen, Arjun Arunasalam, Z. Berkay Celik:
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions. ACSAC 2023: 366-378 - Siqi Xie, Xiuxia Tian:
Fused Syntactic and Semantic Parsing for Measuring Privacy Level in Unstructured Text. ISDFS 2023: 1-6 - Mohammad Sahinur Hossen, Dongwan Shin:
Generalized framework for protecting privacy in the smart grid environment and measuring the efficacy of privacy attacks. SmartNets 2023: 1-8 - Yue Xiao, Zhengyi Li, Yue Qin, Xiaolong Bai, Jiale Guan, Xiaojing Liao, Luyi Xing:
Lalaine: Measuring and Characterizing Non-Compliance of Apple Privacy Labels. USENIX Security Symposium 2023: 1091-1108 - Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal:
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. WWW 2023: 2166-2177 - Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR abs/2302.04373 (2023) - Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal:
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. CoRR abs/2303.09008 (2023) - Yufan Chen, Arjun Arunasalam, Z. Berkay Celik:
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions. CoRR abs/2310.02431 (2023) - Zilong Liu, Krzysztof Janowicz, Kitty Currier, Meilin Shi, Jinmeng Rao, Song Gao, Ling Cai, Anita Graser:
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond. CoRR abs/2312.01151 (2023) - 2022
- Austin Hounsel:
Measuring the Feasibility of DNS Privacy and Security. Princeton University, USA, 2022 - Nikhil Jha, Martino Trevisan, Luca Vassio, Marco Mellia:
The Internet with Privacy Policies: Measuring The Web Upon Consent. ACM Trans. Web 16(3): 15:1-15:24 (2022) - Ahmad Hassanpour, Bian Yang:
PriMe: A Novel Privacy Measuring Framework for Online Social Networks. ASONAM 2022: 518-525 - Hannu Turtiainen, Andrei Costin, Timo Hämäläinen:
CCTV-Exposure: System for Measuring User's Privacy Exposure to CCTV Cameras. BMSD 2022: 289-298 - Julius Köpke, Michael Necemer:
Measuring the Effects of Confidants on Privacy in Smart Contracts. BPM (Blockchain and RPA Forum) 2022: 84-99 - Julián Salas, Vicenç Torra, David Megías:
Towards Measuring Fairness for Local Differential Privacy. DPM/CBT@ESORICS 2022: 19-34 - Michalis Pachilakis, Panagiotis Papadopoulos, Nikolaos Laoutaris, Evangelos P. Markatos, Nicolas Kourtellis:
YourAdvalue: Measuring Advertising Price Dynamics without Bankrupting User Privacy. SIGMETRICS (Abstracts) 2022: 41-42
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