Privcoll: Practical privacy-preserving collaborative machine learning Y Zhang, G Bai, X Li, C Curtis, C Chen, RKL Ko European Symposium on Research in Computer Security, 399-418, 2020 | 38 | 2020 |
Scrutinizing privacy policy compliance of virtual personal assistant apps F Xie, Y Zhang, C Yan, S Li, L Bu, K Chen, Z Huang, G Bai Proceedings of the 37th IEEE/ACM international conference on automated …, 2022 | 34 | 2022 |
Identifying privacy weaknesses from multi-party trigger-action integration platforms K Mahadewa, Y Zhang, G Bai, L Bu, Z Zuo, D Fernando, Z Liang, JS Dong Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 26 | 2021 |
Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks Y Zhang, X Zhao, X Li, M Zhong, C Curtis, C Chen Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 19 | 2019 |
Differentially private collaborative coupling learning for recommender systems Y Zhang, G Bai, M Zhong, X Li, RKL Ko IEEE Intelligent Systems 36 (1), 16-24, 2020 | 16 | 2020 |
Dapagliflozin restores insulin and growth hormone secretion in obese mice Z Huang, L Huang, C Wang, S Zhu, X Qi, Y Chen, Y Zhang, MA Cowley, ... Journal of Endocrinology 245 (1), 1-12, 2020 | 16 | 2020 |
AgrEvader: Poisoning membership inference against Byzantine-robust federated learning Y Zhang, G Bai, MAP Chamikara, M Ma, L Shen, J Wang, S Nepal, M Xue, ... Proceedings of the ACM Web Conference 2023, 2371-2382, 2023 | 14 | 2023 |
Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers. MH Meng, Q Zhang, G Xia, Y Zheng, Y Zhang, G Bai, Z Liu, SG Teo, ... NDSS, 2023 | 14 | 2023 |
Bounded and Unbiased Composite Differential Privacy K Zhang, Y Zhang, R Sun, PW Tsai, MU Hassan, X Yuan, M Xue, J Chen 2024 IEEE Symposium on Security and Privacy (SP), 108-108, 2024 | 12 | 2024 |
Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey S Wang, RKL Ko, G Bai, N Dong, T Choi, Y Zhang IEEE Communications Surveys & Tutorials, 2023 | 10 | 2023 |
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness H Zhang, S Hu, Y Wang, LY Zhang, Z Zhou, X Wang, Y Zhang, C Chen IJCAI (arXiv:2404.11357), 2024 | 8 | 2024 |
Characterizing cryptocurrency-themed malicious browser extensions K Wang, Y Ling, Y Zhang, Z Yu, H Wang, G Bai, BC Ooi, JS Dong Proceedings of the ACM on Measurement and Analysis of Computing Systems 6 (3 …, 2022 | 8 | 2022 |
Towards better generalization for neural network-based sat solvers C Zhang, Y Zhang, J Mao, W Chen, L Yue, G Bai, M Xu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 199-210, 2022 | 8 | 2022 |
Investigating users’ understanding of privacy policies of virtual personal assistant applications B Chen, T Wu, Y Zhang, MB Chhetri, G Bai Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023 | 7 | 2023 |
Loden: Making every client in federated learning a defender against the poisoning membership inference attacks M Ma, Y Zhang, PCM Arachchige, LY Zhang, MB Chhetri, G Bai Proceedings of the 2023 ACM Asia Conference on Computer and Communications …, 2023 | 7 | 2023 |
Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks Y Zhang, G Bai, X Li, S Nepal, M Grobler, C Chen, RKL Ko IEEE Transactions on Dependable and Secure Computing 20 (4), 3341-3357, 2022 | 7 | 2022 |
UQ-AAS21: a comprehensive dataset of Amazon Alexa skills F Xie, Y Zhang, H Wei, G Bai International Conference on Advanced Data Mining and Applications, 159-173, 2022 | 7 | 2022 |
On the quality of privacy policy documents of virtual personal assistant applications C Yan, F Xie, MH Meng, Y Zhang, G Bai Proceedings on Privacy Enhancing Technologies, 2024 | 6 | 2024 |
Better together: Attaining the triad of Byzantine-robust federated learning via local update amplification L Shen, Y Zhang, J Wang, G Bai Proceedings of the 38th Annual Computer Security Applications Conference …, 2022 | 6 | 2022 |
Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience Y Zhang, R Sun, L Shen, G Bai, M Xue, MH Meng, X Li, R Ko, S Nepal Proceedings of the ACM on Web Conference 2024, 2986-2997, 2024 | 5* | 2024 |