Yiming Li - RankMe

161 papers A* 29A 1B 3C 1Misc 6Journal 116Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Armor: Shielding Unlearnable Examples Against Data Augmentation. IEEE Trans. Pattern Anal. Mach. Intell. Xueluan Gong, Yuji Wang, Yanjiao Chen, Haocheng Dong, Yiming Li, Mengyuan Sun, Shuaike Li, Qian Wang
2026	J	`jnl`	AttriGuard: Defeating Indirect Prompt Injection in LLM Agents via Causal Attribution of Tool Invocations. CoRR Yu He, Haozhe Zhu, Yiming Li, Shuo Shao, Hongwei Yao, Zhihao Liu, Zhan Qin
2026	J	`jnl`	Cert-SSBD: Certified Backdoor Defense With Sample-Specific Smoothing Noises. IEEE Trans. Inf. Forensics Secur. Ting Qiao, Yingjia Wang, Xing Liu, Sixing Wu, Jianbin Li, Yiming Li
2026	J	`jnl`	DualMind: Towards Understanding Cognitive-Affective Cascades in Public Opinion Dissemination via Multi-Agent Simulation. CoRR Enhao Huang, Tongtong Pan, Shuhuai Zhang, Qishu Jin, Liheng Zheng, Kaichun Hu, Yiming Li, Zhan Qin, Kui Ren
2026	J	`jnl`	Explainable Token-level Noise Filtering for LLM Fine-tuning Datasets. CoRR Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin Zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren
2026	J	`jnl`	Position: AI Agents Are Not (Yet) a Panacea for Social Simulation. CoRR Yiming Li, Dacheng Tao
2026	A*	`conf`	Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation. WWW Shuo Shao, Yiming Li, Hongwei Yao, Yifei Chen, Yuchen Yang, Zhan Qin
2026	J	`jnl`	TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking. CoRR Jiale Meng, Jie Zhang, Runyi Hu, Zhe-Ming Lu, Tianwei Zhang, Yiming Li
2026	J	`jnl`	Toward Dataset Copyright Evasion Attack Against Personalized Text-to-Image Diffusion Models. IEEE Trans. Inf. Forensics Secur. Kuofeng Gao, Yufei Zhu, Yiming Li, Jiawang Bai, Yong Yang, Zhifeng Li, Shu-Tao Xia
2025	A*	`conf`	A Benchmark for Semantic Sensitive Information in LLMs Outputs. ICLR Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang
2025	J	`jnl`	ARMOR: Shielding Unlearnable Examples against Data Augmentation. CoRR Xueluan Gong, Yuji Wang, Yanjiao Chen, Haocheng Dong, Yiming Li, Mengyuan Sun, Shuaike Li, Qian Wang, Chen Chen
2025	J	`jnl`	Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment. CoRR Xiaojun Jia, Sensen Gao, Simeng Qin, Tianyu Pang, Chao Du, Yihao Huang, Xinfeng Li, Yiming Li, Bo Li, Yang Liu
2025	J	`jnl`	ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures. CoRR Zhonghao Yang, Cheng Luo, Daojing He, Yiming Li, Yu Li
2025	J	`jnl`	ArcGen: Generalizing Neural Backdoor Detection Across Diverse Architectures. IEEE Trans. Inf. Forensics Secur. Zhonghao Yang, Cheng Luo, Daojing He, Yiming Li, Yu Li
2025	J	`jnl`	AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models. CoRR Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Zhe Wang, Xingjian Du, Shun Zhang, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, Xiaojun Jia, Yifan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Haoyang Li, Yiming Li, Xiaobin Zhuang, Yang Liu, Haibo Hu, Zhuo Chen, Zhizheng Wu, Xiaolin Hu, Eng-Siong Chng, Xiaofeng Wang, Wenyuan Xu, Wei Dong, Xinfeng Li
2025	J	`jnl`	BURN: Backdoor Unlearning via Adversarial Boundary Analysis. CoRR Yanghao Su, Jie Zhang, Yiming Li, Tianwei Zhang, Qing Guo, Weiming Zhang, Nenghai Yu, Nils Lukas, Wenbo Zhou
2025	J	`jnl`	BadReasoner: Planting Tunable Overthinking Backdoors into Large Reasoning Models for Fun or Profit. CoRR Biao Yi, Zekun Fei, Jianing Geng, Tong Li, Lihai Nie, Zheli Liu, Yiming Li
2025	J	`jnl`	BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models. CoRR Xiaobei Yan, Yiming Li, Zhaoxin Fan, Han Qiu, Tianwei Zhang
2025	J	`jnl`	CBW: Towards Dataset Ownership Verification for Speaker Verification via Clustering-based Backdoor Watermarking. CoRR Yiming Li, Kaiying Yan, Shuo Shao, Tongqing Zhai, Shu-Tao Xia, Zhan Qin, Dacheng Tao
2025	J	`jnl`	CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction. CoRR Ting Qiao, Yiming Li, Jianbin Li, Yingjia Wang, Leyi Qi, Junfeng Guo, Ruili Feng, Dacheng Tao
2025	J	`jnl`	CoAS: Composite Audio Steganography Based on Text and Speech Synthesis. IEEE Trans. Inf. Forensics Secur. Yiming Li, Kejiang Chen, Yaofei Wang, Xin Zhang, Guanjie Wang, Weiming Zhang, Nenghai Yu
2025	J	`jnl`	CoreMark: Toward Robust and Universal Text Watermarking Technique. CoRR Jiale Meng, Yiming Li, Zhe-Ming Lu, Zewei He, Hao Luo, Tianwei Zhang
2025	J	`jnl`	Coward: Toward Practical Proactive Federated Backdoor Defense via Collision-based Watermark. CoRR Wenjie Li, Siying Gu, Yiming Li, Kangjie Chen, Zhili Chen, Tianwei Zhang, Shu-Tao Xia, Dacheng Tao
2025	A*	`conf`	Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems. ICML Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Han Qiu, Nils Lukas, Tianwei Zhang
2025	J	`jnl`	Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems. CoRR Yutong Wu, Jie Zhang, Yiming Li, Chao Zhang, Qing Guo, Nils Lukas, Tianwei Zhang
2025	J	`jnl`	DATABench: Evaluating Dataset Auditing in Deep Learning from an Adversarial Perspective. CoRR Shuo Shao, Yiming Li, Mengren Zheng, Zhiyang Hu, Yukun Chen, Boheng Li, Yu He, Junfeng Guo, Tianwei Zhang, Dacheng Tao, Zhan Qin
2025	J	`jnl`	DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling. CoRR Boheng Li, Junjie Wang, Yiming Li, Zhiyang Hu, Leyi Qi, Jianshuo Dong, Run Wang, Han Qiu, Zhan Qin, Tianwei Zhang
2025	J	`jnl`	Evading backdoor defenses: Concealing genuine backdoors through scapegoat strategy. Comput. Secur. Yaguan Qian, Zejie Lian, Yiming Li, Wei Wang, Zhaoquan Gu, Bin Wang, Yanchun Zhang
2025	A*	`conf`	Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution. NDSS Shuo Shao, Yiming Li, Hongwei Yao, Yiling He, Zhan Qin, Kui Ren
2025	J	`jnl`	External Data Extraction Attacks against Retrieval-Augmented Large Language Models. CoRR Yu He, Yifei Chen, Yiming Li, Shuo Shao, Leyi Qi, Boheng Li, Dacheng Tao, Zhan Qin
2025	J	`jnl`	FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint. CoRR Shuo Shao, Haozhe Zhu, Hongwei Yao, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
2025	J	`jnl`	FLARE: Toward Universal Dataset Purification Against Backdoor Attacks. IEEE Trans. Inf. Forensics Secur. Linshan Hou, Wei Luo, Zhongyun Hua, Songhua Chen, Leo Yu Zhang, Yiming Li
2025	J	`jnl`	Holmes: Towards Effective and Harmless Model Ownership Verification to Personalized Large Vision Models via Decoupling Common Features. CoRR Linghui Zhu, Yiming Li, Haiqin Weng, Yan Liu, Tianwei Zhang, Shu-Tao Xia, Zhi Wang
2025	J	`jnl`	Imperceptible Jailbreaking against Large Language Models. CoRR Kuofeng Gao, Yiming Li, Chao Du, Xin Wang, Xingjun Ma, Shu-Tao Xia, Tianyu Pang
2025	J	`jnl`	Inception: Jailbreak the Memory Mechanism of Text-to-Image Generation Systems. CoRR Shiqian Zhao, Jiayang Liu, Yiming Li, Runyi Hu, Xiaojun Jia, Wenshu Fan, Xinfeng Li, Jie Zhang, Wei Dong, Tianwei Zhang, Luu Anh Tuan
2025	J	`jnl`	MOVE: Effective and Harmless Ownership Verification via Embedded External Features. IEEE Trans. Pattern Anal. Mach. Intell. Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao, Kui Ren
2025	J	`jnl`	Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography. CoRR Songze Li, Jiameng Cheng, Yiming Li, Xiaojun Jia, Dacheng Tao
2025	J	`jnl`	PT-Mark: Invisible Watermarking for Text-to-image Diffusion Models via Semantic-aware Pivotal Tuning. CoRR Yaopeng Wang, Huiyu Xu, Zhibo Wang, Jiacheng Du, Zhichao Li, Yiming Li, Qiu Wang, Kui Ren
2025	J	`jnl`	PointNCBW: Toward Dataset Ownership Verification for Point Clouds via Negative Clean-Label Backdoor Watermark. IEEE Trans. Inf. Forensics Secur. Cheng Wei, Yang Wang, Kuofeng Gao, Shuo Shao, Yiming Li, Zhibo Wang, Zhan Qin
2025	A*	`conf`	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. ICLR Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2025	J	`jnl`	Probe before You Talk: Towards Black-box Defense against Backdoor Unalignment for Large Language Models. CoRR Biao Yi, Tiansheng Huang, Sishuo Chen, Tong Li, Zheli Liu, Zhixuan Chu, Yiming Li
2025	A*	`conf`	Prompt Inversion Attack Against Collaborative Inference of Large Language Models. SP Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang
2025	J	`jnl`	Prompt Inversion Attack against Collaborative Inference of Large Language Models. CoRR Wenjie Qu, Yuguang Zhou, Yongji Wu, Tingsong Xiao, Binhang Yuan, Yiming Li, Jiaheng Zhang
2025	J	`jnl`	PromptCOS: Towards System Prompt Copyright Auditing for LLMs via Content-level Output Similarity. CoRR Yuchen Yang, Yiming Li, Hongwei Yao, Enhao Huang, Shuo Shao, Bingrun Yang, Zhibo Wang, Dacheng Tao, Zhan Qin
2025	A*	`conf`	REFINE: Inversion-Free Backdoor Defense via Model Reprogramming. ICLR Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren
2025	J	`jnl`	REFINE: Inversion-Free Backdoor Defense via Model Reprogramming. CoRR Yukun Chen, Shuo Shao, Enhao Huang, Yiming Li, Pin-Yu Chen, Zhan Qin, Kui Ren
2025	J	`jnl`	Reading Between the Lines: Towards Reliable Black-box LLM Fingerprinting via Zeroth-order Gradient Estimation. CoRR Shuo Shao, Yiming Li, Hongwei Yao, Yifei Chen, Yuchen Yang, Zhan Qin
2025	J	`jnl`	Rethinking Data Protection in the (Generative) Artificial Intelligence Era. CoRR Yiming Li, Shuo Shao, Yu He, Junfeng Guo, Tianwei Zhang, Zhan Qin, Pin-Yu Chen, Michael Backes, Philip Torr, Dacheng Tao, Kui Ren
2025	J	`jnl`	SWAP: Towards Copyright Auditing of Soft Prompts via Sequential Watermarking. CoRR Wenyuan Yang, Yichen Sun, Changzheng Chen, Zhixuan Chu, Jiaheng Zhang, Yiming Li, Dacheng Tao
2025	J	`jnl`	Safety at Scale: A Comprehensive Survey of Large Model Safety. CoRR Xingjun Ma, Yifeng Gao, Yixu Wang, Ruofan Wang, Xin Wang, Ye Sun, Yifan Ding, Hengyuan Xu, Yunhao Chen, Yunhan Zhao, Hanxun Huang, Yige Li, Jiaming Zhang, Xiang Zheng, Yang Bai, Zuxuan Wu, Xipeng Qiu, Jingfeng Zhang, Yiming Li, Jun Sun, Cong Wang, Jindong Gu, Baoyuan Wu, Siheng Chen, Tianwei Zhang, Yang Liu, Mingming Gong, Tongliang Liu, Shirui Pan, Cihang Xie, Tianyu Pang, Yinpeng Dong, Ruoxi Jia, Yang Zhang, Shiqing Ma, Xiangyu Zhang, Neil Gong, Chaowei Xiao, Sarah M. Erfani, Bo Li, Masashi Sugiyama, Dacheng Tao, James Bailey, Yu-Gang Jiang
2025	A*	`conf`	SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CVPR Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
2025	J	`jnl`	SoK: Large Language Model Copyright Auditing via Fingerprinting. CoRR Shuo Shao, Yiming Li, Yu He, Hongwei Yao, Wenyuan Yang, Dacheng Tao, Zhan Qin
2025	J	`jnl`	Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack. CoRR Yukun Chen, Boheng Li, Yu Yuan, Leyi Qi, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
2025	J	`jnl`	Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Ownership Verification with Reasoning. CoRR Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Yanshuo Chen, Heng Huang
2025	J	`jnl`	Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models. CoRR Kuofeng Gao, Yufei Zhu, Yiming Li, Jiawang Bai, Yong Yang, Zhifeng Li, Shu-Tao Xia
2025	J	`jnl`	Towards Effective Prompt Stealing Attack against Text-to-Image Diffusion Models. CoRR Shiqian Zhao, Chong Wang, Yiming Li, Yihao Huang, Wenjie Qu, Siew-Kei Lam, Yi Xie, Kangjie Chen, Jie Zhang, Tianwei Zhang
2025	A*	`conf`	Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models. USENIX Security Symposium Yu He, Boheng Li, Liu Liu, Zhongjie Ba, Wei Dong, Yiming Li, Zhan Qin, Kui Ren, Chun Chen
2025	J	`jnl`	Towards Label-Only Membership Inference Attack against Pre-trained Large Language Models. CoRR Yu He, Boheng Li, Liu Liu, Zhongjie Ba, Wei Dong, Yiming Li, Zhan Qin, Kui Ren, Chun Chen
2025	A*	`conf`	Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models. SP Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang
2025	J	`jnl`	Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning. CoRR Boheng Li, Renjie Gu, Junjie Wang, Leyi Qi, Yiming Li, Run Wang, Zhan Qin, Tianwei Zhang
2025	J	`jnl`	Towards Sample-Specific Backdoor Attack With Clean Labels via Attribute Trigger. IEEE Trans. Dependable Secur. Comput. Mingyan Zhu, Yiming Li, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin
2025	—	`conf`	Understanding the Dark Side of LLMs' Intrinsic Self-Correction. ACL (1) Qingjie Zhang, Di Wang, Haoting Qian, Yiming Li, Tianwei Zhang, Minlie Huang, Ke Xu, Hewu Li, Liu Yan, Han Qiu
2025	A*	`conf`	VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking. ICLR Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang
2025	J	`jnl`	VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking. CoRR Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang
2024	J	`jnl`	Backdoor Attack With Sparse and Invisible Trigger. IEEE Trans. Inf. Forensics Secur. Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang
2024	J	`jnl`	Backdoor Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. Yiming Li, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2024	—	`conf`	BadActs: A Universal Backdoor Defense in the Activation Space. ACL (Findings) Biao Yi, Sishuo Chen, Yiming Li, Tong Li, Baolei Zhang, Zheli Liu
2024	J	`jnl`	BadActs: A Universal Backdoor Defense in the Activation Space. CoRR Biao Yi, Sishuo Chen, Yiming Li, Tong Li, Baolei Zhang, Zheli Liu
2024	A	`conf`	Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. CIKM Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li
2024	J	`jnl`	Causal Interventional Prediction System for Robust and Explainable Effect Forecasting. CoRR Zhixuan Chu, Hui Ding, Guang Zeng, Shiyu Wang, Yiming Li
2024	A*	`conf`	Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract). IJCAI Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li
2024	J	`jnl`	Demonstration Attack against In-Context Learning for Code Intelligence. CoRR Yifei Ge, Weisong Sun, Yihang Lou, Chunrong Fang, Yiran Zhang, Yiming Li, Xiaofang Zhang, Yang Liu, Zhihong Zhao, Zhenyu Chen
2024	J	`jnl`	Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution. CoRR Shuo Shao, Yiming Li, Hongwei Yao, Yiling He, Zhan Qin, Kui Ren
2024	J	`jnl`	FLARE: Towards Universal Dataset Purification against Backdoor Attacks. CoRR Linshan Hou, Wei Luo, Zhongyun Hua, Songhua Chen, Leo Yu Zhang, Yiming Li
2024	A*	`conf`	IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. ICML Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li
2024	J	`jnl`	IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency. CoRR Linshan Hou, Ruili Feng, Zhongyun Hua, Wei Luo, Leo Yu Zhang, Yiming Li
2024	J	`jnl`	Model-agnostic Origin Attribution of Generated Images with Few-shot Examples. CoRR Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu
2024	J	`jnl`	Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
2024	A*	`conf`	Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers. CVPR Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia
2024	J	`jnl`	Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers. CoRR Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shutao Xia
2024	J	`jnl`	PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark. CoRR Cheng Wei, Yang Wang, Kuofeng Gao, Shuo Shao, Yiming Li, Zhibo Wang, Zhan Qin
2024	J	`jnl`	Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
2024	A*	`conf`	Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation. ICML Boheng Li, Yishuo Cai, Jisong Cai, Yiming Li, Han Qiu, Run Wang, Tianwei Zhang
2024	J	`jnl`	Regional Adversarial Training for Better Robust Generalization. Int. J. Comput. Vis. Chuanbiao Song, Yanbo Fan, Aoyang Zhou, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He
2024	J	`jnl`	SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models. CoRR Zilan Wang, Junfeng Guo, Jiacheng Zhu, Yiming Li, Heng Huang, Muhao Chen, Zhengzhong Tu
2024	J	`jnl`	SoK: On the Role and Future of AIGC Watermarking in the Era of Gen-AI. CoRR Kui Ren, Ziqi Yang, Li Lu, Jian Liu, Yiming Li, Jie Wan, Xiaodi Zhao, Xianheng Feng, Shuo Shao
2024	J	`jnl`	SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution. CoRR Runyi Hu, Jie Zhang, Yiming Li, Jiwei Li, Qing Guo, Han Qiu, Tianwei Zhang
2024	J	`jnl`	TAPI: Towards Target-Specific and Adversarial Prompt Injection against Code LLMs. CoRR Yuchen Yang, Hongwei Yao, Bingrun Yang, Yiling He, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
2024	J	`jnl`	Toward Stealthy Backdoor Attacks Against Speech Recognition via Elements of Sound. IEEE Trans. Inf. Forensics Secur. Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Stefanos Koffas, Yiming Li
2024	A*	`conf`	Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. ICLR Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
2024	J	`jnl`	Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models. CoRR Boheng Li, Yanhao Wei, Yankai Fu, Zhenting Wang, Yiming Li, Jie Zhang, Run Wang, Tianwei Zhang
2024	A*	`conf`	Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features. ICLR Xiong Xu, Kunzhe Huang, Yiming Li, Zhan Qin, Kui Ren
2024	J	`jnl`	Understanding the Dark Side of LLMs' Intrinsic Self-Correction. CoRR Qingjie Zhang, Han Qiu, Di Wang, Haoting Qian, Yiming Li, Tianwei Zhang, Minlie Huang
2024	—	`conf`	Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution. ECCV (62) Fengyuan Liu, Haochen Luo, Yiming Li, Philip Torr, Jindong Gu
2024	A*	`conf`	ZeroMark: Towards Dataset Ownership Verification without Disclosing Watermark. NeurIPS Junfeng Guo, Yiming Li, Ruibo Chen, Yihan Wu, Chenxi Liu, Heng Huang
2023	Misc	`conf`	BATT: Backdoor Attack with Transformation-Based Triggers. ICASSP Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
2023	J	`jnl`	Backdoor Attack with Sparse and Invisible Trigger. CoRR Yinghua Gao, Yiming Li, Xueluan Gong, Shu-Tao Xia, Qian Wang
2023	Misc	`conf`	Backdoor Defense via Suppressing Model Shortcuts. ICASSP Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia
2023	J	`jnl`	BackdoorBox: A Python Toolbox for Backdoor Learning. CoRR Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia
2023	J	`jnl`	Black-Box Dataset Ownership Verification via Backdoor Watermarking. IEEE Trans. Inf. Forensics Secur. Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Tao Wei, Shu-Tao Xia
2023	—	`conf`	Defending Against Backdoor Attacks by Layer-wise Feature Analysis. PAKDD (2) Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li
2023	J	`jnl`	Defending Against Backdoor Attacks by Layer-wise Feature Analysis. CoRR Najeeb Moharram Jebreel, Josep Domingo-Ferrer, Yiming Li
2023	A*	`conf`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. NeurIPS Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	J	`jnl`	Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand. CoRR Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
2023	A*	`conf`	Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization. AAAI Bangyan He, Jian Liu, Yiming Li, Siyuan Liang, Jingzhi Li, Xiaojun Jia, Xiaochun Cao
2023	J	`jnl`	Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia
2023	A*	`conf`	One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. ICCV Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
2023	J	`jnl`	One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. CoRR Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
2023	A*	`conf`	SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. ICLR Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
2023	J	`jnl`	SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency. CoRR Junfeng Guo, Yiming Li, Xun Chen, Hanqing Guo, Lichao Sun, Cong Liu
2023	A*	`conf`	Towards Robust Model Watermark via Reducing Parametric Vulnerability. ICCV Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia
2023	J	`jnl`	Towards Robust Model Watermark via Reducing Parametric Vulnerability. CoRR Guanhao Gan, Yiming Li, Dongxian Wu, Shutao Xia
2023	J	`jnl`	Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger. CoRR Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin
2023	J	`jnl`	Towards Stealthy Backdoor Attacks against Speech Recognition via Elements of Sound. CoRR Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Stefanos Koffas, Yiming Li
2023	Misc	`conf`	Untargeted Backdoor Attack Against Object Detection. ICASSP Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients. IEEE Internet Things J. Linghui Zhu, Xinyi Liu, Yiming Li, Xue Yang, Shu-Tao Xia, Rongxing Lu
2022	B	`conf`	Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. ICIP Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
2022	J	`jnl`	Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution. CoRR Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
2022	J	`jnl`	BATT: Backdoor Attack with Transformation-based Triggers. CoRR Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	A*	`conf`	Backdoor Defense via Decoupling the Training Process. ICLR Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren
2022	J	`jnl`	Backdoor Defense via Decoupling the Training Process. CoRR Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren
2022	J	`jnl`	Backdoor Defense via Suppressing Model Shortcuts. CoRR Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Black-box Ownership Verification for Dataset Protection via Backdoor Watermarking. CoRR Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Shu-Tao Xia
2022	A*	`conf`	Defending against Model Stealing via Verifying Embedded External Features. AAAI Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
2022	A*	`conf`	Few-Shot Backdoor Attacks on Visual Object Tracking. ICLR Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Few-Shot Backdoor Attacks on Visual Object Tracking. CoRR Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
2022	J	`jnl`	Multinomial random forest. Pattern Recognit. Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
2022	J	`jnl`	Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2022	J	`jnl`	Untargeted Backdoor Attack against Object Detection. CoRR Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia
2022	A*	`conf`	Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. NeurIPS Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
2022	J	`jnl`	Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. CoRR Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
2021	Misc	`conf`	Backdoor Attack Against Speaker Verification. ICASSP Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2021	J	`jnl`	Backdoor Attack in the Physical World. CoRR Yiming Li, Tongqing Zhai, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2021	J	`jnl`	Defending against Model Stealing via Verifying Embedded External Features. CoRR Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
2021	J	`jnl`	Hidden Backdoor Attack against Semantic Segmentation Models. CoRR Yiming Li, YanJie Li, Yalei Lv, Yong Jiang, Shu-Tao Xia
2021	A*	`conf`	Invisible Backdoor Attack with Sample-Specific Triggers. ICCV Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
2021	J	`jnl`	Regional Adversarial Training for Better Robust Generalization. CoRR Chuanbiao Song, Yanbo Fan, Yichen Yang, Baoyuan Wu, Yiming Li, Zhifeng Li, Kun He
2021	A*	`conf`	Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. ICLR Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
2021	J	`jnl`	Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. CoRR Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
2021	Misc	`conf`	Visual Privacy Protection via Mapping Distortion. ICASSP Yiming Li, Peidong Liu, Yong Jiang, Shu-Tao Xia
2021	Misc	`conf`	t-k-means: A ROBUST AND STABLE k-means VARIANT. ICASSP Yiming Li, Yang Zhang, Qingtao Tang, Weipéng Huáng, Yong Jiang, Shu-Tao Xia
2020	B	`conf`	Adversarial Defense Via Local Flatness Regularization. ICIP Jia Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Backdoor Attack against Speaker Verification. CoRR Tongqing Zhai, Yiming Li, Ziqi Zhang, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Backdoor Attack with Sample-Specific Triggers. CoRR Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
2020	J	`jnl`	Backdoor Learning: A Survey. CoRR Yiming Li, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shu-Tao Xia
2020	B	`conf`	Generalized Local Aggregation for Large Scale Gaussian Process Regression. IJCNN Yinghua Gao, Naiqi Li, Ning Ding, Yiming Li, Tao Dai, Shu-Tao Xia
2020	C	`conf`	Multitask Deep Learning for Edge Intelligence Video Surveillance System. INDIN Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia
2020	J	`jnl`	Open-sourced Dataset Protection via Backdoor Watermarking. CoRR Yiming Li, Ziqi Zhang, Jiawang Bai, Baoyuan Wu, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning. CoRR Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
2020	J	`jnl`	Rethinking the Trigger of Backdoor Attack. CoRR Yiming Li, Tongqing Zhai, Baoyuan Wu, Yong Jiang, Zhifeng Li, Shutao Xia
2020	J	`jnl`	TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation. Entropy Jiawei Li, Yiming Li, Xingchun Xiang, Shu-Tao Xia, Siyi Dong, Yun Cai
2020	—	`conf`	Targeted Attack for Deep Hashing Based Retrieval. ECCV (1) Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
2020	J	`jnl`	Targeted Attack for Deep Hashing based Retrieval. CoRR Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang
2020	J	`jnl`	Toward Adversarial Robustness via Semi-supervised Robust Training. CoRR Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shutao Xia
2019	J	`jnl`	Adversarial Defense Via Local Flatness Regularization. CoRR Jia Xu, Yiming Li, Yang Bai, Yong Jiang, Shu-Tao Xia
2019	J	`jnl`	Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness. CoRR Yiming Li, Jiawang Bai, Qingtao Tang, Yong Jiang, Chun Li, Shutao Xia
2019	J	`jnl`	Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness. CoRR Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia
2019	J	`jnl`	UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble. Aust. J. Intell. Inf. Process. Syst. Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia
2019	J	`jnl`	Visual Privacy Protection via Mapping Distortion. CoRR Peidong Liu, Yiming Li, Yong Jiang, Shu-Tao Xia
2019	J	`jnl`	t-k-means: A k-means Variant with Robustness and Stability. CoRR Yang Zhang, Qingtao Tang, Yiming Li, Weipéng Huáng, Shutao Xia