The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis
Abstract
Author(s): Andrea Continella, Yanick Fratantonio, Martina Lindorfer, Alessandro Puccetti, Ali Zand, Christopher Kruegel, Giovanni Vigna Download: Paper (PDF) Date: 27 Feb 2017 Document Type: Reports Additional Documents: Slides Video Associated Event: NDSS Symposium 2017 Abstract: Mobile apps are notorious for collecting a wealth of private information from users. Despite significant effort from the research community in developing … Continued
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In the citing paper
“However, there are methods to limit the amount of sensitive content that is present, e.g., by identifying and filtering personal information or content with restrictive terms of use [11, 58].”
From Extracting Training Data from Large Language Models (2020) · cites this paper as [11]
Citations
Cites
Needleman, S. B., & Wunsch, C. D. (1970) · Journal of Molecular Biology · doi:10.1016/0022-2836(70)90057-4 · Cited by 11,288
TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones
Enck, W., Gilbert, P., Chun, B.-G., Cox, L. P., Jung, J., McDaniel, P. D., & Sheth, A. N. (2010) · doi:10.5555/1924943.1924971 · Cited by 2,238
Arzt, S., Rasthofer, S., Fritz, C., Bodden, E., Bartel, A., Klein, J., Le Traon, Y., Octeau, D., & McDaniel, P. (2014) · Proceedings of the 35th ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/2594291.2594299 · Cited by 1,396
IccTA: Detecting Inter-Component Privacy Leaks in Android Apps
Li, L., Bartel, A., Bissyande, T. F., Klein, J., Le Traon, Y., Arzt, S., Rasthofer, S., Bodden, E., Octeau, D., & McDaniel, P. (2015) · 2015 IEEE/ACM 37th IEEE International Conference on Software Engineering · doi:10.1109/icse.2015.48 · Cited by 608
Hornyack, P., Han, S., Jung, J., Schechter, S., & Wetherall, D. (2011) · Proceedings of the 18th ACM conference on Computer and communications security · doi:10.1145/2046707.2046780 · Cited by 568
Gibler, C., Crussell, J., Erickson, J., & Chen, H. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-30921-2_17 · Cited by 488
Wei, F., Roy, S., Ou, X., & Robby (2014) · Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2660267.2660357 · Cited by 415
CopperDroid: Automatic Reconstruction of Android Malware Behaviors
Tam, K., Khan, S. J., Fattori, A., & Cavallaro, L. (2015) · Network and Distributed System Security Symposium · doi:10.14722/ndss.2015.23145 · Cited by 398
AppIntent: analyzing sensitive data transmission in android for privacy leakage detection
Yang, Z., Yang, M., Zhang, Y., Gu, G., Ning, P., & Wang, X. S. (2013) · Proceedings of the 2013 ACM SIGSAC conference on Computer & communications security - CCS '13 · doi:10.1145/2508859.2516676 · Cited by 348
AppsPlayground: automatic security analysis of smartphone applications
Rastogi, V., Chen, Y., & Enck, W. (2013) · Proceedings of the third ACM conference on Data and application security and privacy · doi:10.1145/2435349.2435379 · Cited by 322
Cited by
Extracting Training Data from Large Language Models
Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., Roberts, A., Brown, T., Song, D., Erlingsson, U., et al. (2020) · arXiv · doi:10.48550/arxiv.2012.07805 · Cited by 727
Security and Privacy Challenges of Large Language Models: A Survey
Das, B. C., Amini, M. H., & Wu, Y. (2025) · ACM Computing Surveys · doi:10.1145/3712001 · Cited by 445
FlowPrint: Semi-Supervised Mobile-App Fingerprinting on Encrypted Network Traffic
van Ede, T., Bortolameotti, R., Continella, A., Ren, J., Dubois, D. J., Lindorfer, M., Choffnes, D., van Steen, M., & Peter, A. (2020) · Proceedings 2020 Network and Distributed System Security Symposium · doi:10.14722/ndss.2020.24412 · Cited by 339
Self-citationA federated learning system with enhanced feature extraction for human activity recognition
Xiao, Z., Xu, X., Xing, H., Song, F., Wang, X., & Zhao, B. (2021) · Knowledge-Based Systems · doi:10.1016/j.knosys.2021.107338 · Cited by 251
Grundy, Q., Chiu, K., Held, F., Continella, A., Bero, L., & Holz, R. (2019) · BMJ · doi:10.1136/bmj.l920 · Cited by 164
Self-citation
Metadata
- Authors
- Continella, A., Fratantonio, Y., Lindorfer, M., Puccetti, A., Zand, A., Kruegel, C., & Vigna, G.
- Venue
- Proceedings 2017 Network and Distributed System Security Symposium
- Publisher
- Internet Society
- Published
- 2017
- Cited by
- 90
- References
- 36
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis. https://app.cochat.ai/papers/10.14722/ndss.2017.23465
- The paper
- Continella, A., Fratantonio, Y., Lindorfer, M., Puccetti, A., Zand, A., Kruegel, C., & Vigna, G. (2017). Obfuscation-Resilient Privacy Leak Detection for Mobile Apps Through Differential Analysis. Proceedings 2017 Network and Distributed System Security Symposium. https://doi.org/10.14722/ndss.2017.23465
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
