| The secret revealer: Generative model-inversion attacks against deep neural networks Y Zhang, R Jia, H Pei, W Wang, B Li, D Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 514 | 2020 |
| Towards efficient data valuation based on the shapley value R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gurel, B Li, C Zhang, ... The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 487 | 2019 |
| Fine-tuning aligned language models compromises safety, even when users do not intend to! X Qi, Y Zeng, T Xie, PY Chen, R Jia, P Mittal, P Henderson arXiv preprint arXiv:2310.03693, 2023 | 335 | 2023 |
| Efficient task-specific data valuation for nearest neighbor algorithms R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, C Spanos, ... PVLDB 12 (11), 1610-1623, 2019 | 243 | 2019 |
| Rethinking the backdoor attacks' triggers: A frequency perspective Y Zeng, W Park, ZM Mao, R Jia Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 240 | 2021 |
| A Principled Approach to Data Valuation for Federated Learning T Wang, J Rausch, C Zhang, R Jia, D Song Federated Learning: Privacy and Incentive, 2020 | 214 | 2020 |
| Robust anomaly detection and backdoor attack detection via differential privacy M Du, R Jia, D Song International Conference on Learning Representations, 2020 | 201 | 2020 |
| Narcissus: A practical clean-label backdoor attack with limited information Y Zeng, M Pan, HA Just, L Lyu, M Qiu, R Jia Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications …, 2023 | 180 | 2023 |
| Adversarial unlearning of backdoors via implicit hypergradient Y Zeng, S Chen, W Park, ZM Mao, M Jin, R Jia arXiv preprint arXiv:2110.03735, 2021 | 180 | 2021 |
| How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms Y Zeng, H Lin, J Zhang, D Yang, R Jia, W Shi arXiv preprint arXiv:2401.06373, 2024 | 148 | 2024 |
| Virtual occupancy sensing: Using smart meters to indicate your presence M Jin, R Jia, CJ Spanos IEEE Transactions on Mobile Computing 16 (11), 3264-3277, 2017 | 136 | 2017 |
| Infobert: Improving robustness of language models from an information theoretic perspective B Wang, S Wang, Y Cheng, Z Gan, R Jia, B Li, J Liu arXiv preprint arXiv:2010.02329, 2020 | 131 | 2020 |
| Knowledge-Enriched Distributional Model Inversion Attacks S Chen, R Jia, GJ Qi arXiv preprint arXiv:2010.04092, 2020 | 125* | 2020 |
| Design automation for smart building systems R Jia, B Jin, M Jin, Y Zhou, IC Konstantakopoulos, H Zou, J Kim, D Li, ... Proceedings of the IEEE 106 (9), 1680-1699, 2018 | 115 | 2018 |
| Refit: a unified watermark removal framework for deep learning systems with limited data X Chen, W Wang, C Bender, Y Ding, R Jia, B Li, D Song Proceedings of the 2021 ACM Asia Conference on Computer and Communications …, 2021 | 112 | 2021 |
| Advanced Building Control via Deep Reinforcement Learning R Jia, M Jin, K Sun, T Hong, C Spanos The 10th International Conference on Applied Energy, 2018 | 97 | 2018 |
| Data analytics and optimization of an ice-based energy storage system for commercial buildings N Luo, T Hong, H Li, R Jia, W Weng Applied Energy 204, 459-475, 2017 | 87 | 2017 |
| Data banzhaf: A robust data valuation framework for machine learning JT Wang, R Jia International Conference on Artificial Intelligence and Statistics, 6388-6421, 2023 | 82 | 2023 |
| Presencesense: Zero-training algorithm for individual presence detection based on power monitoring M Jin, R Jia, Z Kang, IC Konstantakopoulos, CJ Spanos Proceedings of the 1st ACM conference on embedded systems for energy …, 2014 | 79 | 2014 |
| CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks X He, Q Xu, Y Zeng, L Lyu, F Wu, J Li, R Jia NeurIPS 2022, 2022 | 77 | 2022 |
Dawn SongProfessor of Computer Science, UC BerkeleyVerified email at cs.berkeley.edu
