Gong, Neil Zhenqiang

28 publications

ICLR 2025 A Transfer Attack to Image Watermarks Yuepeng Hu, Zhengyuan Jiang, Moyang Guo, Neil Zhenqiang Gong

CVPR 2025 BadToken: Token-Level Backdoor Attacks to Multi-Modal Large Language Models Zenghui Yuan, Jiawen Shi, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun

NeurIPS 2025 Competitive Advantage Attacks to Decentralized Federated Learning Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong

CVPR 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

ICLR 2025 StringLLM: Understanding the String Processing Capability of Large Language Models Xilong Wang, Hao Fu, Jindong Wang, Neil Zhenqiang Gong

NeurIPS 2025 Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Yuqi Jia, Minghong Fang, Hongbin Liu, Jinghuai Zhang, Neil Zhenqiang Gong

NeurIPS 2024 AudioMarkBench: Benchmarking Robustness of Audio Watermarking Hongbin Liu, Moyang Guo, Zhengyuan Jiang, Lun Wang, Neil Zhenqiang Gong

ECCV 2024 Certifiably Robust Image Watermark Zhengyuan Jiang, Moyang Guo, Yuepeng Hu, Jinyuan Jia, Neil Zhenqiang Gong

CVPR 2024 Data Poisoning Based Backdoor Attacks to Contrastive Learning Jinghuai Zhang, Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

ICLR 2024 DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks Kaijie Zhu, Jiaao Chen, Jindong Wang, Neil Zhenqiang Gong, Diyi Yang, Xing Xie

ICML 2024 FedREDefense: Defending Against Model Poisoning Attacks for Federated Learning Using Model Update Reconstruction Error Yueqi Xie, Minghong Fang, Neil Zhenqiang Gong

ICLR 2024 MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICMLW 2024 Self-Cognition in Large Language Models: An Exploratory Study Dongping Chen, Jiawen Shi, Neil Zhenqiang Gong, Yao Wan, Pan Zhou, Lichao Sun

ECCV 2024 Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen

ICCVW 2023 IPCert: Provably Robust Intellectual Property Protection for Machine Learning Zhengyuan Jiang, Minghong Fang, Neil Zhenqiang Gong

CVPR 2023 PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees Jinghuai Zhang, Jinyuan Jia, Hongbin Liu, Neil Zhenqiang Gong

ECCV 2022 Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, Yinzhi Cao

ICLR 2022 Almost Tight L0-Norm Certified Robustness of Top-K Predictions Against Adversarial Perturbations Jinyuan Jia, Binghui Wang, Xiaoyu Cao, Hongbin Liu, Neil Zhenqiang Gong

AAAI 2022 Certified Robustness of Nearest Neighbors Against Data Poisoning and Backdoor Attacks Jinyuan Jia, Yupei Liu, Xiaoyu Cao, Neil Zhenqiang Gong

CVPRW 2022 MPAF: Model Poisoning Attacks to Federated Learning Based on Fake Clients Xiaoyu Cao, Neil Zhenqiang Gong

ECCV 2022 Semi-Leak: Membership Inference Attacks Against Semi-Supervised Learning Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang

AAAI 2021 Intrinsic Certified Robustness of Bagging Against Data Poisoning Attacks Jinyuan Jia, Xiaoyu Cao, Neil Zhenqiang Gong

IJCAI 2021 On the Intrinsic Differential Privacy of Bagging Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

CVPR 2021 PointGuard: Provably Robust 3D Point Cloud Classification Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong

AAAI 2021 Provably Secure Federated Learning Against Malicious Clients Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong

AAAI 2021 Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

ICLR 2020 Certified Robustness for Top-K Predictions Against Adversarial Perturbations via Randomized Smoothing Jinyuan Jia, Xiaoyu Cao, Binghui Wang, Neil Zhenqiang Gong