Li, Yiming

63 publications

ICLR 2025 A Benchmark for Semantic Sensitive Information in LLMs Outputs Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang
TMLR 2025 A Survey on Large Language Model Acceleration Based on KV Cache Management Haoyang Li, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole Hu, Wei Dong, Li Qing, Lei Chen
NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
NeurIPS 2025 Adversarial Attacks Against Closed-Source MLLMs via Feature Optimal Alignment Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu
ICCV 2025 Adversarial Exploitation of Data Diversity Improves Visual Localization Sihang Li, Siqi Tan, Bowen Chang, Jing Zhang, Chen Feng, Yiming Li
NeurIPS 2025 Backdoor Cleaning Without External Guidance in MLLM Fine-Tuning Xuankun Rong, Wenke Huang, Jian Liang, Jinhe Bi, Xun Xiao, Yiming Li, Bo Du, Mang Ye
ICML 2025 Cowpox: Towards the Immunity of VLM-Based Multi-Agent Systems Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang
ICCV 2025 Extrapolated Urban View Synthesis Benchmark Xiangyu Han, Zhen Jia, Boyi Li, Yan Wang, Boris Ivanovic, Yurong You, Lingjie Liu, Yue Wang, Marco Pavone, Chen Feng, Yiming Li
IJCAI 2025 Graph Prompts: Adapting Video Graph for Video Question Answering Yiming Li, Xiaoshan Yang, Bing-Kun Bao, Changsheng Xu
ICML 2025 KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Yiwu Yao, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan
ICLR 2025 Probe Before You Talk: Towards Black-Box Defense Against Backdoor Unalignment for Large Language Models Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
ICLR 2025 REFINE: Inversion-Free Backdoor Defense via Model Reprogramming Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren
ICCV 2025 Recovering Parametric Scenes from Very Few Time-of-Flight Pixels Carter Sifferman, Yiquan Li, Yiming Li, Fangzhou Mu, Michael Gleicher, Mohit Gupta, Yin Li
CVPR 2025 SleeperMark: Towards Robust Watermark Against Fine-Tuning Text-to-Image Diffusion Models Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
NeurIPS 2025 Taught Well Learned Ill: Towards Distillation-Conditional Backdoor Attack Yukun Chen, Boheng Li, Yu Yuan, Leyi Qi, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
NeurIPS 2025 Towards Resilient Safety-Driven Unlearning for Diffusion Models Against Downstream Fine-Tuning Boheng Li, Renjie Gu, Junjie Wang, Leyi Qi, Yiming Li, Run Wang, Zhan Qin, Tianwei Zhang
ICCV 2025 Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving Junhao Ge, Zuhong Liu, Longteng Fan, Yifan Jiang, Jiaqi Su, Yiming Li, Zhejun Zhang, Siheng Chen
ICLR 2025 VideoShield: Regulating Diffusion-Based Video Generation Models via Watermarking Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang
ICLR 2024 BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen T. Wang, Prateek Mittal
ECCV 2024 CVT-Occ: Cost Volume Temporal Fusion for 3D Occupancy Prediction Zhangchen Ye, Tao Jiang, Chenfeng Xu, Yiming Li, Hang Zhao
IJCAI 2024 Defending Against Backdoor Attacks by Layer-Wise Feature Analysis (Extended Abstract) Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li
ICML 2024 IBD-PSC: Input-Level Backdoor Detection via Parameter-Oriented Scaling Consistency Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li
NeurIPS 2024 Memorize What Matters: Emergent Scene Decomposition from Multitraverse Yiming Li, Zehong Wang, Yue Wang, Zhiding Yu, Zan Gojcic, Marco Pavone, Chen Feng, Jose M. Alvarez
AAAI 2024 Multi-Region Text-Driven Manipulation of Diffusion Imagery Yiming Li, Peng Zhou, Jun Sun, Yi Xu
CVPR 2024 Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset Yiming Li, Zhiheng Li, Nuo Chen, Moonjun Gong, Zonglin Lyu, Zehong Wang, Peili Jiang, Chen Feng
CVPR 2024 Nearest Is Not Dearest: Towards Practical Defense Against Quantization-Conditioned Backdoor Attacks Boheng Li, Yishuo Cai, Haowei Li, Feng Xue, Zhifeng Li, Yiming Li
CVPR 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-Trained Vision Transfomers Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia
ICML 2024 Purifying Quantization-Conditioned Backdoors via Layer-Wise Activation Correction with Distribution Approximation Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang
NeurIPS 2024 RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu
ICLR 2024 Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
ICLR 2024 Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features Xiong Xu, Kunzhe Huang, Yiming Li, Zhan Qin, Kui Ren
ECCV 2024 Which Model Generated This Image? a Model-Agnostic Approach for Origin Attribution Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu
NeurIPS 2024 ZeroMark: Towards Dataset Ownership Verification Without Disclosing Watermark Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
ICCV 2023 Among Us: Adversarially Robust Collaborative Perception by Consensus Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng
ICLRW 2023 BackdoorBox: A Python Toolbox for Backdoor Learning Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia
CVPR 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR mAP Optimization Chao Chen, Xinhao Liu, Yiming Li, Li Ding, Chen Feng
NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
AAAI 2023 Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao
CVPRW 2023 Multi-View Semantic Information Guidance for Light Field Image Segmentation Yiming Li, Ruixuan Cong, Sizhe Wang, Mingyuan Zhao, Yang Zhang, Fangping Li, Hao Sheng
ICCV 2023 One-Bit Flip Is All You Need: When Bit-Flip Attack Meets Model Training Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
ICCV 2023 PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework Bowen Li, Ziyuan Huang, Junjie Ye, Yiming Li, Sebastian Scherer, Hang Zhao, Changhong Fu
AAAI 2023 Poisoning-Based Backdoor Attacks in Computer Vision Yiming Li
ICLR 2023 Revisiting the Assumption of Latent Separability for Backdoor Defenses Xiangyu Qi, Tinghao Xie, Yiming Li, Saeed Mahloujifar, Prateek Mittal
ICLR 2023 SCALE-UP: An Efficient Black-Box Input-Level Backdoor Detection via Analyzing Scaled Prediction Consistency Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
NeurIPS 2023 Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models Through Honeypots Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
ICCV 2023 Towards Robust Model Watermark via Reducing Parametric Vulnerability Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia
CVPR 2023 VoxFormer: Sparse Voxel Transformer for Camera-Based 3D Semantic Scene Completion Yiming Li, Zhiding Yu, Christopher Choy, Chaowei Xiao, Jose M. Alvarez, Sanja Fidler, Chen Feng, Anima Anandkumar
NeurIPSW 2022 BAAT: Towards Sample-Specific Backdoor Attack with Clean Labels Yiming Li, Mingyan Zhu, Chengxiao Luo, Haiqin Weng, Yong Jiang, Tao Wei, Shu-Tao Xia
ICLR 2022 Backdoor Defense via Decoupling the Training Process Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren
AAAI 2022 Defending Against Model Stealing via Verifying Embedded External Features Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
CVPR 2022 Dynamic Scene Graph Generation via Anticipatory Pre-Training Yiming Li, Xiaoshan Yang, Changsheng Xu
CVPR 2022 Egocentric Prediction of Action Target in 3D Yiming Li, Ziang Cao, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng
ICLR 2022 Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
CoRL 2022 Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception Yiming Li, Juexiao Zhang, Dekun Ma, Yue Wang, Chen Feng
NeurIPS 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
ICMLW 2021 Defending Against Model Stealing via Verifying Embedded External Features Linghui Zhu, Yiming Li, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
ICCV 2021 Fooling LiDAR Perception via Adversarial Trajectory Perturbation Yiming Li, Congcong Wen, Felix Juefei-Xu, Chen Feng
ICCV 2021 HiFT: Hierarchical Feature Transformer for Aerial Tracking Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li
ICCV 2021 Invisible Backdoor Attack with Sample-Specific Triggers Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
NeurIPS 2021 Learning Distilled Collaboration Graph for Multi-Agent Perception Yiming Li, Shunli Ren, Pengxiang Wu, Siheng Chen, Chen Feng, Wenjun Zhang
ICLR 2021 Targeted Attack Against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
ECCV 2020 Targeted Attack for Deep Hashing Based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
CVPRW 2018 CNN-Optimized Image Compression with Uncertainty Based Resource Allocation Zhenzhong Chen, Yiming Li, Feiyang Liu, Zizheng Liu, Xiang Pan, Wanjie Sun, Yingbin Wang, Yan Zhou, Han Zhu, Shan Liu