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ORCIDHongbin Liu 0005
Person information
- affiliation: Duke University, Durham, NC, USA
Other persons with the same name
- Hongbin Liu — disambiguation page
- Hongbin Liu 0001
![[0000-0002-4315-7556]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4315-7556")
— King's College London, Center for Robotics Research, UK - Hongbin Liu 0002 — Henan University of Economics and Law, Department of Mathematics and Information Science, Zhengzhou, China (and 1 more)
- Hongbin Liu 0003 — Southwest University, College of Resources and Environment, Chongqing, China
- Hongbin Liu 0004 — Beijing Bytedance Network Technology Co., Ltd, Beijing, China
- Hongbin Liu 0006 — Nanjing Forestry University, Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, China (and 2 more)
- Hongbin Liu 0007 — James Cook University, College of Science and Engineering, Cairns, Australia
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2020 – today
- 2024
[c12]Wen Huang, Hongbin Liu, Minxin Guo, Neil Gong:
Visual Hallucinations of Multi-modal Large Language Models. ACL (Findings) 2024: 9614-9631- [c11]Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
Data Poisoning Based Backdoor Attacks to Contrastive Learning. CVPR 2024: 24357-24366 - [c10]Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. SP (Workshops) 2024: 144-156 - [c9]Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong:
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. USENIX Security Symposium 2024 - [i16]Wen Huang, Hongbin Liu, Minxin Guo, Neil Zhenqiang Gong:
Visual Hallucinations of Multi-modal Large Language Models. CoRR abs/2402.14683 (2024) - [i15]Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong:
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models. CoRR abs/2402.14977 (2024) - [i14]Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong:
AudioMarkBench: Benchmarking Robustness of Audio Watermarking. CoRR abs/2406.06979 (2024) - [i13]Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong:
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning. CoRR abs/2407.07221 (2024) - [i12]Zedian Shao, Hongbin Liu, Yuepeng Hu, Neil Zhenqiang Gong:
Refusing Safe Prompts for Multi-modal Large Language Models. CoRR abs/2407.09050 (2024) - 2023
- [j1]Chengbin Pang, Hongbin Liu, Yifan Wang, Neil Zhenqiang Gong, Bing Mao, Jun Xu:
Generation-based fuzzing? Don't build a new generator, reuse! Comput. Secur. 129: 103178 (2023) - [c8]Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CVPR 2023: 9496-9505 - [i11]Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees. CoRR abs/2303.01959 (2023) - 2022
- [c7]Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders in Self-supervised Learning. CCS 2022: 2115-2128 - [c6]Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. ECCV (31) 2022: 365-381 - [c5]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong:
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. ICLR 2022 - [c4]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. USENIX Security Symposium 2022: 3629-3645 - [i10]Yupei Liu, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
StolenEncoder: Stealing Pre-trained Encoders. CoRR abs/2201.05889 (2022) - [i9]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning. CoRR abs/2205.06401 (2022) - [i8]Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang:
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning. CoRR abs/2207.12535 (2022) - [i7]Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning. CoRR abs/2211.08229 (2022) - [i6]Hongbin Liu, Wenjie Qu, Jinyuan Jia, Neil Zhenqiang Gong:
Pre-trained Encoders in Self-Supervised Learning Improve Secure and Privacy-preserving Supervised Learning. CoRR abs/2212.03334 (2022) - 2021
- [c3]Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CCS 2021: 2081-2095 - [c2]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PointGuard: Provably Robust 3D Point Cloud Classification. CVPR 2021: 6186-6195 - [c1]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. IJCAI 2021: 2730-2736 - [i5]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
PointGuard: Provably Robust 3D Point Cloud Classification. CoRR abs/2103.03046 (2021) - [i4]Hongbin Liu, Jinyuan Jia, Wenjie Qu, Neil Zhenqiang Gong:
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning. CoRR abs/2108.11023 (2021) - [i3]Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong:
10 Security and Privacy Problems in Self-Supervised Learning. CoRR abs/2110.15444 (2021) - 2020
- [i2]Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong:
On the Intrinsic Differential Privacy of Bagging. CoRR abs/2008.09845 (2020) - [i1]Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong:
Almost Tight L0-norm Certified Robustness of Top-k Predictions against Adversarial Perturbations. CoRR abs/2011.07633 (2020)
Coauthor Index
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