| Encodermi: Membership inference against pre-trained encoders in contrastive learning H Liu, J Jia, W Qu, NZ Gong Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 89 | 2021 |
| Pointguard: Provably robust 3d point cloud classification H Liu, J Jia, NZ Gong Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 78 | 2021 |
| StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning Y Liu, J Jia, H Liu, NZ Gong ACM Conference on Computer and Communications Security (CCS), 2022 | 38 | 2022 |
| PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning H Liu, J Jia, NZ Gong USENIX Security Symposium, 2022 | 33 | 2022 |
| Almost tight l0-norm certified robustness of top-k predictions against adversarial perturbations J Jia, B Wang, X Cao, H Liu, NZ Gong International Conference on Learning Representations (ICLR), 2022 | 26 | 2022 |
| Visual Hallucinations of Multi-modal Large Language Models W Huang, H Liu, M Guo, NZ Gong Findings of the Association for Computational Linguistics (ACL), 2024 | 20 | 2024 |
| Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning X He, H Liu, NZ Gong, Y Zhang European Conference on Computer Vision (ECCV), 2022 | 17 | 2022 |
| On the Intrinsic Differential Privacy of Bagging H Liu, J Jia, NZ Gong International Joint Conference on Artificial Intelligence (IJCAI), 2021 | 13 | 2021 |
| CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning J Zhang, H Liu, J Jia, NZ Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024 | 11 | 2024 |
| 10 Security and Privacy Problems in Large Foundation Models J Jia, H Liu, NZ Gong AI Embedded Assurance for Cyber Systems, 2023 | 8* | 2023 |
| PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees J Zhang, J Jia, H Liu, NZ Gong IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 | 7 | 2023 |
| Pre-trained encoders in self-supervised learning improve secure and privacy-preserving supervised learning H Liu, W Qu, J Jia, NZ Gong IEEE Security and Privacy Workshops, 2024 | 5 | 2024 |
| Generation-based fuzzing? Don’t build a new generator, reuse! C Pang, H Liu, Y Wang, NZ Gong, B Mao, J Xu Computers & Security 129, 103178, 2023 | 2 | 2023 |
| 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 | 1 | 2024 |
| AudioMarkBench: Benchmarking Robustness of Audio Watermarking H Liu, M Guo, Z Jiang, L Wang, NZ Gong NeurIPS Datasets and Benchmarks 2024, 2024 | 1 | 2024 |
| Data Poisoning based Backdoor Attacks to Contrastive Learning J Zhang, H Liu, J Jia, NZ Gong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Can DeepFake Speech be Reliably Detected? H Liu, Y Chen, A Narayanan, A Balachandran, PJ Moreno, L Wang arXiv preprint arXiv:2410.06572, 2024 | | 2024 |
| Differentially Private Parameter-Efficient Fine-tuning for Large ASR Models H Liu, L Wang, O Thakkar, A Thakurta, A Narayanan arXiv preprint arXiv:2410.01948, 2024 | | 2024 |
| Refusing Safe Prompts for Multi-modal Large Language Models Z Shao, H Liu, Y Hu, NZ Gong arXiv preprint arXiv:2407.09050, 2024 | | 2024 |
| Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models H Liu, MK Reiter, NZ Gong USENIX Security Symposium, 2024 | | 2024 |
Neil Zhenqiang GongAssociate Professor, Duke UniversityVerified email at duke.edu
