| Using deep learning to solve computer security challenges: a survey YH Choi, P Liu, Z Shang, H Wang, Z Wang, L Zhang, J Zhou, Q Zou Cybersecurity 3, 1-32, 2020 | 56 | 2020 |
| Semantics-preserving reinforcement learning attack against graph neural networks for malware detection L Zhang, P Liu, YH Choi, P Chen IEEE Transactions on Dependable and Secure Computing 20 (2), 1390-1402, 2022 | 52 | 2022 |
| Reviewing IoT security via logic bugs in IoT platforms and systems W Zhou, C Cao, D Huo, K Cheng, L Zhang, L Guan, T Liu, Y Jia, Y Zheng, ... IEEE Internet of Things Journal 8 (14), 11621-11639, 2021 | 33 | 2021 |
| What Your Firmware Tells You Is Not How You Should Emulate It: A Specification-Guided Approach for Firmware Emulation L Zhang, W Zhou, L Guan, P Liu, Y Zhang CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and …, 2022 | 25 | 2022 |
| The Effectiveness of Large Language Models (Chatgpt and Codebert) for Security-Oriented Code Analysis Z Wang, L Zhang, C Cao, P Liu Available at SSRN 4567887, 2023 | 13* | 2023 |
| Randomized bit vector: Privacy-preserving encoding mechanism L Sun, L Zhang, X Ye Proceedings of the 27th ACM International Conference on Information and …, 2018 | 7 | 2018 |
| Evaluating Large Language Models for Real-World Vulnerability Repair in C/C++ Code L Zhang, Q Zou, A Singhal, X Sun, P Liu IWSPA 2024: 10th ACM International Workshop on Security and Privacy Analytics, 2024 | 4 | 2024 |
| Attacks on ML Systems: From Security Analysis to Attack Mitigation Q Zou, L Zhang, A Singhal, X Sun, P Liu International Conference on Information Systems Security, 119-138, 2022 | 2 | 2022 |
| An Efficient Approach for Securing Audio Data in AI Training with Fully Homomorphic Encryption L Nguyen, B Phan, L Zhang, T Nguyen Authorea Preprints, 2024 | 1 | 2024 |
| Using Explainable AI for Neural Network Based Network Attack Detection Q Zou, L Zhang, A Singhal, X Sun, P Liu IEEE Computer 57 (5), 2024 | 1 | 2024 |
| Which Features are Learned by CodeBert: An Empirical Study of the BERT-based Source Code Representation Learning L Zhang, C Cao, Z Wang, P Liu arXiv preprint arXiv:2301.08427, 2023 | 1 | 2023 |
| Active learning for iterative offline reinforcement learning L Zhang, L Tedesco, P Rajak, Y Zemmouri, H Brunzell In NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning …, 2023 | 1 | 2023 |
| How Does Naming Affect Language Models on Code Analysis Tasks? Z Wang, L Zhang, C Cao, N Luo, X Luo, P Liu Journal of Software Engineering and Applications 17 (11), 803-816, 2024 | | 2024 |
| Hide Your Malicious Goal Into Benign Narratives: Jailbreak Large Language Models through Neural Carrier Articles Z Wang, H Wang, N Luo, L Zhang, X Sun, Y Cao, P Liu arXiv preprint arXiv:2408.11182, 2024 | | 2024 |
| Federated Learning for Enhanced ECG Signal Classification with Privacy Awareness TTN Quoc Bao Phan, Linh Nguyen, Ngoc Thang Bui, Dinh C. Nguyen, Lan Zhang 46th Annual International Conference of the IEEE Engineering in Medicine and …, 2024 | | 2024 |
| Analysis of neural network detectors for network attacks Q Zou, L Zhang, A Singhal, X Sun, P Liu Journal of Computer Security 32 (3), 193-220, 2024 | | 2024 |
| AI for Cybersecurity: A Handbook of Use Cases Q Liu, Peng and Liu, Tao and Luo, Nanqing and Shang, Zitong and Wang ... https://www.amazon.com/gp/product/B09T3123RB/, 2022 | | 2022 |
Peng LiuRaymond G. Tronzo, M.D. Professor of Cybersecurity, Penn State UniversityBestätigte E-Mail-Adresse bei ist.psu.edu
