Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13
Shuang Liu, Baiyang Zhao, Renjie Guo, Guozhu Meng, Fan Zhang, Meishan Zhang
摘要
With the rapid development of web and mobile applications, as well as their wide adoption in different domains, more and more personal data is provided, consciously or unconsciously, to different application providers. Privacy policy is an important medium for users to understand what personal information has been collected and used. As data privacy protection is becoming a critical social issue, there are laws and regulations being enacted in different countries and regions, and the most representative one is the EU General Data Protection Regulation (GDPR). It is thus important to detect compliance issues among regulations, e.g., GDPR, with privacy policies, and provide intuitive results for data subjects (i.e., users), data collection party (i.e., service providers) and the regulatory authorities. In this work, we target to solve the problem of compliance analysis between GDPR (Article 13) and privacy policies. We format the task into a combination of a sentence classification step and a rule-based analysis step. We manually curate a corpus of 36, 610 labeled sentences from 304 privacy policies, and benchmark our corpus with several standard sentence classifiers. We also conduct a rule-based analysis to detect compliance issues and a user study to evaluate the usability of our approach. The web-based tool AutoCompliance is publicly accessible 1 . CCS CONCEPTS • Security and privacy → Privacy protections; • Computing methodologies → Natural language processing.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper12
- Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant AppsFuman Xie, Yanjun Zhang, Chuan Yan, Suwan Li 等ASE 2022 · 被引用 31 次
- A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated GenerationShidong Pan, Zhen Tao, Thong Hoang, Dawen Zhang 等USENIX Security 2024 · 被引用 24 次
- Is It a Trap? A Large-scale Empirical Study And Comprehensive Assessment of Online Automated Privacy Policy Generators for Mobile AppsShidong Pan, Dawen Zhang, Mark Staples, Zhenchang Xing 等USENIX Security 2024 · 被引用 18 次
- Are they Toeing the Line? Diagnosing Privacy Compliance Violations among Browser ExtensionsYuxi Ling, Kailong Wang, Guangdong Bai, Haoyu Wang 等ASE 2022 · 被引用 17 次
- Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's AppsRuoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang 等WWW 2023 · 被引用 15 次
它引用的顶会 Paper2
- Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep LearningHamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub 等USENIX Security 2018 · 被引用 400 次
- Finding a Choice in a Haystack: Automatic Extraction of Opt-Out Statements from Privacy Policy TextVinayshekhar Bannihatti Kumar, Roger Iyengar, Namita Nisal, Yuanyuan Feng 等WWW 2020 · 被引用 93 次
相关 Paper
- PolicyChecker: Analyzing the GDPR Completeness of Mobile Apps' Privacy PoliciesAnhao Xiang, Weiping Pei, Chuan YueCCS 2023 · 被引用 24 次
- A Fine-grained Chinese Software Privacy Policy Dataset for Sequence Labeling and Regulation Compliant IdentificationKaifa Zhao, Le Yu, Shiyao Zhou, Jing Li 等EMNLP 2022 · 被引用 7 次
- PolicyLint: Investigating Internal Privacy Policy Contradictions on Google PlayBenjamin Andow, Samin Yaseer Mahmud, Wenyu Wang, Justin Whitaker 等USENIX Security 2019 · 被引用 185 次
- Privacy Policies over Time: Curation and Analysis of a Million-Document DatasetRyan Amos, Gunes Acar, Elena Lucherini, Mihir Kshirsagar 等WWW 2021 · 被引用 135 次
- Evaluating Privacy Policies under Modern Privacy Laws At Scale: An LLM-Based Automated ApproachQinge Xie, Karthik Ramakrishnan, Frank LiUSENIX Security 2025
