Yiming Li

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 35

Top Topics

Robust Watermarking

Training Process

Visual Object Tracking

Differentially Private

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Shuo Shao, Yiming Li, Hongwei Yao, Yiling He, Zhan Qin, Kui Ren
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature Attribution. CoRR (2024)
Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang
Backdoor Attack With Sparse and Invisible Trigger. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. 5 (2) (2024)
Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shutao Xia
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers. CoRR (2024)
Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5 (6) (2024)
Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. ICLR (2024)
Hanbo Cai, Pengcheng Zhang, Hai Dong, Yan Xiao, Stefanos Koffas, Yiming Li
Toward Stealthy Backdoor Attacks Against Speech Recognition via Elements of Sound. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Yiming Li, Yong Jiang, Zhifeng Li, Shu-Tao Xia
Backdoor Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Xiong Xu, Kunzhe Huang, Yiming Li, Zhan Qin, Kui Ren
Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features. ICLR (2024)
Yuchen Yang, Hongwei Yao, Bingrun Yang, Yiling He, Yiming Li, Tianwei Zhang, Zhan Qin, Kui Ren
TAPI: Towards Target-Specific and Adversarial Prompt Injection against Code LLMs. CoRR (2024)
Guanhao Gan, Yiming Li, Dongxian Wu, Shutao Xia
Towards Robust Model Watermark via Reducing Parametric Vulnerability. CoRR (2023)
Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia
Untargeted Backdoor Attack Against Object Detection. ICASSP (2023)
Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia
BackdoorBox: A Python Toolbox for Backdoor Learning. CoRR (2023)
Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia
Backdoor Defense via Suppressing Model Shortcuts. ICASSP (2023)
Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
BATT: Backdoor Attack with Transformation-Based Triggers. ICASSP (2023)
Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia
Towards Robust Model Watermark via Reducing Parametric Vulnerability. ICCV (2023)
Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. ICCV (2023)
Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. 139 (2023)
Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Tao Wei, Shu-Tao Xia
Black-Box Dataset Ownership Verification via Backdoor Watermarking. IEEE Trans. Inf. Forensics Secur. 18 (2023)
Yiming Li, Mingyan Zhu, Junfeng Guo, Tao Wei, Shu-Tao Xia, Zhan Qin
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger. CoRR (2023)
Kunzhe Huang, Yiming Li, Baoyuan Wu, Zhan Qin, Kui Ren
Backdoor Defense via Decoupling the Training Process. ICLR (2022)
Linghui Zhu, Xinyi Liu, Yiming Li, Xue Yang, Shu-Tao Xia, Rongxing Lu
A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients. IEEE Internet Things J. 9 (13) (2022)
Yiming Li, Linghui Zhu, Xiaojun Jia, Yang Bai, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
MOVE: Effective and Harmless Ownership Verification via Embedded External Features. CoRR (2022)
Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. NeurIPS (2022)
Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia
BATT: Backdoor Attack with Transformation-based Triggers. CoRR (2022)
Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection. CoRR (2022)
Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao
Defending against Model Stealing via Verifying Embedded External Features. AAAI (2022)
Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia
Backdoor Defense via Suppressing Model Shortcuts. CoRR (2022)
Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia
Untargeted Backdoor Attack against Object Detection. CoRR (2022)
Yiming Li, Baoyuan Wu, Yan Feng, Yanbo Fan, Yong Jiang, Zhifeng Li, Shu-Tao Xia
Semi-supervised robust training with generalized perturbed neighborhood. Pattern Recognit. 124 (2022)
Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
Adaptive Local Implicit Image Function for Arbitrary-scale Super-resolution. CoRR (2022)
Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Shu-Tao Xia
Black-box Ownership Verification for Dataset Protection via Backdoor Watermarking. CoRR (2022)
Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia
Few-Shot Backdoor Attacks on Visual Object Tracking. ICLR (2022)
Hongwei Li, Tao Dai, Yiming Li, Xueyi Zou, Shu-Tao Xia
Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution. ICIP (2022)
Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu
Invisible Backdoor Attack with Sample-Specific Triggers. ICCV (2021)