Yixin Liu

According to our database, Yixin Liu authored at least 26 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective.

Yixin Liu, Arielle Carr, Lichao Sun

CoRR, 2024

Can Large Language Models Automatically Jailbreak GPT-4V?

Yuanwei Wu, Yue Huang, Yixin Liu, Xiang Li, Pan Zhou, Limin Sun

CoRR, 2024

Investigating and Defending Shortcut Learning in Personalized Diffusion Models.

Yixin Liu, Ruoxi Chen, Lichao Sun

CoRR, 2024

Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras.

Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla, Wenxuan Ye, Yixin Liu, Zhaoming Kong, Kai Zhang, Yilong Yin, Vinod Namboodiri, Brian D. Davison, Jason H. Moore, Yong Chen

CoRR, 2024

Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking.

Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun

CoRR, 2024

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models.

Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, 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, John C. 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 Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao

CoRR, 2024

Improving Interpretation Faithfulness for Vision Transformers.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning.

Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise.

Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Improving Faithfulness for Vision Transformers.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

CoRR, 2023

Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis.

Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun

CoRR, 2023

Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts.

Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun

CoRR, 2023

GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation.

Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun

CoRR, 2023

Watermarking Text Data on Large Language Models for Dataset Copyright Protection.

Yixin Liu, Hongsheng Hu, Xuyun Zhang, Lichao Sun

CoRR, 2023

BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT.

Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun

CoRR, 2023

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT.

Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun

CoRR, 2023

Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation.

Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun

CoRR, 2023

Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation.

Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun

CoRR, 2023

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT.

Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun

CoRR, 2023

Backdoor Attacks to Pre-trained Unified Foundation Models.

Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun

CoRR, 2023

SEAT: Stable and Explainable Attention.

Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Conditional Automated Channel Pruning for Deep Neural Networks.

Yixin Liu, Yong Guo, Jiaxin Guo, Luoqian Jiang, Jian Chen

IEEE Signal Process. Lett., 2021

Priority prediction of Asian Hornet sighting report using machine learning methods.

Yixin Liu, Jiaxin Guo, Jieyang Dong, Luoqian Jiang, Haoyuan Ouyang

CoRR, 2021

2020

Conditional Automated Channel Pruning for Deep Neural Networks.

Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen

CoRR, 2020