| Multi-key privacy-preserving deep learning in cloud computing P Li, J Li, Z Huang, T Li, CZ Gao, SM Yiu, K Chen Future Generation Computer Systems 74, 76-85, 2017 | 512 | 2017 |
| Privacy-preserving outsourced classification in cloud computing P Li, J Li, Z Huang, CZ Gao, WB Chen, K Chen Cluster Computing 21, 277-286, 2018 | 390 | 2018 |
| Achieving accuracy and scalability simultaneously in detecting application clones on android markets K Chen, P Liu, Y Zhang Proceedings of the 36th International Conference on Software Engineering …, 2014 | 388 | 2014 |
| {CommanderSong}: a systematic approach for practical adversarial voice recognition X Yuan, Y Chen, Y Zhao, Y Long, X Liu, K Chen, S Zhang, H Huang, ... 27th USENIX security symposium (USENIX security 18), 49-64, 2018 | 296 | 2018 |
| Understanding membership inferences on well-generalized learning models Y Long, V Bindschaedler, L Wang, D Bu, X Wang, H Tang, CA Gunter, ... arXiv preprint arXiv:1802.04889, 2018 | 294 | 2018 |
| Finding unknown malice in 10 seconds: Mass vetting for new threats at the {Google-Play} scale K Chen, P Wang, Y Lee, XF Wang, N Zhang, H Huang, W Zou, P Liu 24th USENIX Security Symposium (USENIX Security 15), 659-674, 2015 | 291 | 2015 |
| Android malware familial classification and representative sample selection via frequent subgraph analysis M Fan, J Liu, X Luo, K Chen, Z Tian, Q Zheng, T Liu IEEE Transactions on Information Forensics and Security 13 (8), 1890-1905, 2018 | 252 | 2018 |
| Seeing isn't believing: Towards more robust adversarial attack against real world object detectors Y Zhao, H Zhu, R Liang, Q Shen, S Zhang, K Chen Proceedings of the 2019 ACM SIGSAC conference on computer and communications …, 2019 | 215 | 2019 |
| Uncovering the face of android ransomware: Characterization and real-time detection J Chen, C Wang, Z Zhao, K Chen, R Du, GJ Ahn IEEE Transactions on Information Forensics and Security 13 (5), 1286-1300, 2017 | 189 | 2017 |
| Deeprefiner: Multi-layer android malware detection system applying deep neural networks K Xu, Y Li, RH Deng, K Chen 2018 IEEE European Symposium on Security and Privacy (EuroS&P), 473-487, 2018 | 187 | 2018 |
| {Devil’s} whisper: A general approach for physical adversarial attacks against commercial black-box speech recognition devices Y Chen, X Yuan, J Zhang, Y Zhao, S Zhang, K Chen, XF Wang 29th USENIX Security Symposium (USENIX Security 20), 2667-2684, 2020 | 174 | 2020 |
| Understanding android obfuscation techniques: A large-scale investigation in the wild S Dong, M Li, W Diao, X Liu, J Liu, Z Li, F Xu, K Chen, X Wang, K Zhang Security and privacy in communication networks: 14th international …, 2018 | 174 | 2018 |
| Droidevolver: Self-evolving android malware detection system K Xu, Y Li, R Deng, K Chen, J Xu 2019 IEEE European Symposium on Security and Privacy (EuroS&P), 47-62, 2019 | 162 | 2019 |
| Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, Xiaofeng Wang, and Carl A Gunter. 2018. CommanderSong: A Systematic Approach for Practical Adversarial Voice … X Yuan 27th {USENIX} Security Symposium ({USENIX} Security 18), 49-64, 2018 | 159 | 2018 |
| {FuzzGuard}: Filtering out unreachable inputs in directed grey-box fuzzing through deep learning P Zong, T Lv, D Wang, Z Deng, R Liang, K Chen 29th USENIX security symposium (USENIX security 20), 2255-2269, 2020 | 153 | 2020 |
| Semfuzz: Semantics-based automatic generation of proof-of-concept exploits W You, P Zong, K Chen, XF Wang, X Liao, P Bian, B Liang Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 152 | 2017 |
| Following devil's footprints: Cross-platform analysis of potentially harmful libraries on android and ios K Chen, X Wang, Y Chen, P Wang, Y Lee, XF Wang, B Ma, A Wang, ... 2016 IEEE Symposium on Security and Privacy (SP), 357-376, 2016 | 141 | 2016 |
| Towards security threats of deep learning systems: A survey Y He, G Meng, K Chen, X Hu, J He IEEE Transactions on Software Engineering 48 (5), 1743-1770, 2020 | 135* | 2020 |
| A pragmatic approach to membership inferences on machine learning models Y Long, L Wang, D Bu, V Bindschaedler, X Wang, H Tang, CA Gunter, ... 2020 IEEE European Symposium on Security and Privacy (EuroS&P), 521-534, 2020 | 96 | 2020 |
| Characterizing smartwatch usage in the wild X Liu, T Chen, F Qian, Z Guo, FX Lin, X Wang, K Chen Proceedings of the 15th Annual International Conference on Mobile Systems …, 2017 | 87 | 2017 |
XiaoFeng WangJames H. Rudy Professor of Computer Science, Indiana University at BloomingtonEmail verificata su iu.edu
