Computer and Data Sciences Publications | Case School of Engineering

Friday, May 1, 2015

The importance of being positive in causal statistical fault localization: important properties of Baah et al.'s csfl regression model

Bai, Z., Sun, S., & Podgurski, A. A. (2015). The importance of being positive in causal statistical fault localization: important properties of Baah et al.'s csfl regression model. First International Workshop on Complex faUlts and Failures in LargE Software Systems/IEEE Press.

Sunday, February 1, 2015

Robust Local Community Detection: On Free Rider Effect and Its Elimination

Wu, Y., Jin, R., Li, J., & Zhang, X. (2015). Robust Local Community Detection: On Free Rider Effect and Its Elimination. Proc. VLDB Endow., 8 (7), 798–809.

Thursday, January 1, 2015

Can you Really Anonymize the Donors of Genomic Data in Today’s Digital World?

Alser, M., Almadhoun, N., Nouri, A., Alkan, C., & Ayday, E. (2015). Can you Really Anonymize the Donors of Genomic Data in Today’s Digital World?. Springer.

Thursday, January 1, 2015

Assessing the collective disease association of multiple genomic loci

Ayati, M., & Koyutürk, M. (2015). Assessing the collective disease association of multiple genomic loci. ACM Conference on Computational Biology, Bioinformatics, and Health Informatics.

Thursday, January 1, 2015

GenoGuard: Protecting genomic data against brute-force attacks

Huang, Z., Ayday, E., Fellay, J., Hubaux, J., & Juels, A. (2015). GenoGuard: Protecting genomic data against brute-force attacks. .

Thursday, January 1, 2015

An integrative framework for the identification of double minute chromosomes using next generation sequencing data

Hayes, M., & Li, J. (2015). An integrative framework for the identification of double minute chromosomes using next generation sequencing data. BMC GENETICS, 16 , -.

Thursday, January 1, 2015

Privacy threats and practical solutions for genetic risk tests

Barman, L., Elgraini, M., RAISARO, J., Hubaux, J., & Ayday, E. (2015). Privacy threats and practical solutions for genetic risk tests. .

Thursday, January 1, 2015

Whole genome sequencing: Revolutionary medicine or privacy nightmare?

Ayday, E., De Cristofaro, E., Hubaux, J., & Tsudik, G. (2015). Whole genome sequencing: Revolutionary medicine or privacy nightmare?. Computer, 48 (2), 58--66.

Thursday, January 1, 2015

De-anonymizing genomic databases using phenotypic traits

Humbert, M., Huguenin, K\'evin, M., Hugonot, J., Ayday, E., & Hubaux, J. (2015). De-anonymizing genomic databases using phenotypic traits. Proceedings on Privacy Enhancing Technologies, 2015 (2), 99--114.

Thursday, January 1, 2015

On non-cooperative genomic privacy

Humbert, M., Ayday, E., Hubaux, J., & Telenti, A. (2015). On non-cooperative genomic privacy. .

Thursday, January 1, 2015

Quantifying genomic privacy via inference attack with high-order SNV correlations

Samani, S., Huang, Z., Ayday, E., Elliot, M., Fellay, J., Hubaux, J., & Kutalik, Zolt\'an, J. (2015). Quantifying genomic privacy via inference attack with high-order SNV correlations. .

Thursday, January 1, 2015

Cluster-Oriented Ensemble Classifiers for Intelligent Malware Detection

Hou, S., Chen, L., Tas, E., Demihovskiy, I., & Ye, F. (2015). Cluster-Oriented Ensemble Classifiers for Intelligent Malware Detection. IEEE.

Thursday, January 1, 2015

TCP Stretch Acknowledgements and Timestamps: Findings and Implications for Passive RTT Measurement

Ding, H., & Rabinovich, M. (2015). TCP Stretch Acknowledgements and Timestamps: Findings and Implications for Passive RTT Measurement. ACM SIGCOMM Computer Comm. Review, 45 (3), 20-27.

Thursday, January 1, 2015

AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context

Yang, W., Xiao, X., Andow, B., Li, S., Xie, T., & Enck, W. (2015). AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context. International Conference on Software Engineering (ICSE 2015).

Thursday, January 1, 2015

De-anonymizing genomic databases using phenotypic traits

Thursday, January 1, 2015

Comprehensive Evaluation of Composite Gene Features in Cancer Outcome Prediction

Hu, D., & Koyutürk, M. (2015). Comprehensive Evaluation of Composite Gene Features in Cancer Outcome Prediction. Cancer Informatics.

Thursday, January 1, 2015

On non-cooperative genomic privacy

Humbert, M., Ayday, E., Hubaux, J., & Telenti, A. (2015). On non-cooperative genomic privacy. .

Thursday, January 1, 2015

Quantifying genomic privacy via inference attack with high-order SNV correlations

Samani, S., Huang, Z., Ayday, E., Elliot, M., Fellay, J., Hubaux, J., & Kutalik, Zolt\'an, J. (2015). Quantifying genomic privacy via inference attack with high-order SNV correlations. .

Thursday, January 1, 2015

A New Inference Attack against Kin Genomic Privacy

Balci, F., Kulan, H., Alkan, C., & Ayday, E. (2015). A New Inference Attack against Kin Genomic Privacy. Proc. Privacy-Aware Computational Genomics.

Thursday, January 1, 2015

Differential privacy with bounded priors: reconciling utility and privacy in genome-wide association studies

Tram\`er, Florian, Huang, Z., Hubaux, J., & Ayday, E. (2015). Differential privacy with bounded priors: reconciling utility and privacy in genome-wide association studies. .

Thursday, January 1, 2015

User-aware privacy control via extended static-information-flow analysis

Xiao, X., Tillmann, N., Fahndrich, M., De Halleux, J., & Moskal, M. (2015). User-aware privacy control via extended static-information-flow analysis. Automated Software Engineering Journal (ASEJ), 22 (3), 333–366.

Thursday, January 1, 2015

Privacy in the genomic era

Naveed, M., Ayday, E., Clayton, E., Fellay, J., Gunter, C., Hubaux, J., Malin, B., & Wang, X. (2015). Privacy in the genomic era. ACM Computing Surveys (CSUR), 48 (1), 1--44.

Thursday, January 1, 2015

Threats and solutions for genomic data privacy

Ayday, E., & Hubaux, J. (2015). Threats and solutions for genomic data privacy. Springer, Cham.

Thursday, January 1, 2015

Intelligent Malware Detection Based on File Relation Graphs

Chen, L., Liu, T., Abdulhayoglu, M., & Ye, F. (2015). Intelligent Malware Detection Based on File Relation Graphs. IEEE.

Thursday, January 1, 2015

SUPOR: Precise and Scalable Sensitive User Input Detection for Android Apps

Huang, J., Li, Z., Xiao, X., Wu, Z., Lu, K., Zhang, X., & Jiang, G. (2015). SUPOR: Precise and Scalable Sensitive User Input Detection for Android Apps. USENIX Security Symposium.