| Formalizing and benchmarking prompt injection attacks and defenses Y Liu, Y Jia, R Geng, J Jia, NZ Gong 33rd USENIX Security Symposium (USENIX Security 24), 1831-1847, 2024 | 63 | 2024 |
| Unlocking the potential of federated learning: The symphony of dataset distillation via deep generative latents Y Jia, S Vahidian, J Sun, J Zhang, V Kungurtsev, NZ Gong, Y Chen The European Conference on Computer Vision, 2023 | 5 | 2023 |
| Prompt Injection Attacks and Defenses in LLM-Integrated Appli-cations, October 2023c Y Liu, Y Jia, R Geng, J Jia, NZ Gong URL http://arxiv. org/abs/2310.12815, 0 | 5 | |
| Kissat adaptive restart, kissat cfexp: Adaptive restart policy and variable scoring improvement Y Li, Y Jia, W Luo, HL Zhen, X Li, M Yuan, J Yan SAT COMPETITION 2022, 39, 2022 | 3 | 2022 |
| Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Y Jia, M Fang, H Liu, J Zhang, NZ Gong arXiv preprint arXiv:2407.07221, 2024 | 2 | 2024 |
| Competitive Advantage Attacks to Decentralized Federated Learning Y Jia, M Fang, NZ Gong arXiv preprint arXiv:2310.13862, 2023 | 1 | 2023 |
| Evaluating Large Language Model based Personal Information Extraction and Countermeasures Y Liu, Y Jia, J Jia, NZ Gong arXiv preprint arXiv:2408.07291, 2024 | | 2024 |
| Prompt injection attacks and defenses in llm-integrated applications NZG Yupei Liu, Yuqi Jia, Runpeng Geng, Jinyuan Jia arXiv, 2023 | | 2023 |
| FoundationForensics: Traceback Backdoor Attacks for Vision Foundation Models H Liu, Z Shao, Y Jia, J Zhang, M Fang, C Hong, NZ Gong | | |
| Supplementary Material: Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Y Jia, S Vahidian, J Sun, J Zhang, V Kungurtsev, NZ Gong, Y Chen | | |
| The SAT Encoding for Graph Isomorphism Y Li, Y Jia, W Luo, H Zhen, X Li, M Yuan, J Yan SAT COMPETITION 2022, 85, 0 | | |
