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Yixin Liu 0002
Person information
- affiliation: Lehigh University, Department of Computer Science, Bethlehem, PA, USA
Other persons with the same name
- Yixin Liu — disambiguation page
- Yixin Liu 0001
— Monash University, Clayton, VIC, Australia
- Yixin Liu 0003 — Yale University, Department of Computer Science, New Haven, CT, USA (and 1 more)
- Yixin Liu 0004
- Yixin Liu 0005
- Yixin Liu 0006
- Yixin Liu 0007
- Yixin Liu 0008
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2020 – today
- 2024
- [c5]Yixin Liu
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. AAAI 2024: 3783-3791 - [c4]Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun:
MetaCloak: Preventing Unauthorized Subject-Driven Text-to-Image Diffusion-Based Synthesis via Meta-Learning. CVPR 2024: 24219-24228 - [c3]Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. ICLR 2024 - [c2]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Improving Interpretation Faithfulness for Vision Transformers. ICML 2024 - [i23]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:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i22]Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun:
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR abs/2402.17177 (2024) - [i21]Weixiang Sun, Yixin Liu, Zhiling Yan, Kaidi Xu, Lichao Sun:
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Traning via Sparsity-Aware Local Masking. CoRR abs/2403.10573 (2024) - [i20]Jun Yu, Yutong Dai, Xiaokang Liu, Jin Huang, Yishan Shen, Ke Zhang, Rong Zhou, Eashan Adhikarla
Unleashing the Power of Multi-Task Learning: A Comprehensive Survey Spanning Traditional, Deep, and Pretrained Foundation Model Eras. CoRR abs/2404.18961 (2024) - [i19]Yixin Liu, Ruoxi Chen, Lichao Sun:
Investigating and Defending Shortcut Learning in Personalized Diffusion Models. CoRR abs/2406.18944 (2024) - [i18]Yuanwei Wu, Yue Huang, Yixin Liu, Xiang Li, Pan Zhou, Limin Sun:
Can Large Language Models Automatically Jailbreak GPT-4V? CoRR abs/2407.16686 (2024) - [i17]Yixin Liu, Arielle Carr, Lichao Sun:
Empirical Perturbation Analysis of Linear System Solvers from a Data Poisoning Perspective. CoRR abs/2410.00878 (2024) - 2023
- [c1]Lijie Hu, Yixin Liu
SEAT: Stable and Explainable Attention. AAAI 2023: 12907-12915 - [i16]Zenghui Yuan, Yixin Liu, Kai Zhang, Pan Zhou, Lichao Sun:
Backdoor Attacks to Pre-trained Unified Foundation Models. CoRR abs/2302.09360 (2023) - [i15]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:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i14]Yixin Liu, Haohui Ye, Kai Zhang, Lichao Sun:
Securing Biomedical Images from Unauthorized Training with Anti-Learning Perturbation. CoRR abs/2303.02559 (2023) - [i13]Yixin Liu, Chenrui Fan, Pan Zhou, Lichao Sun:
Unlearnable Graph: Protecting Graphs from Unauthorized Exploitation. CoRR abs/2303.02568 (2023) - [i12]Yihan Cao, Siyu Li, Yixin Liu, Zhiling Yan, Yutong Dai, Philip S. Yu, Lichao Sun:
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT. CoRR abs/2303.04226 (2023) - [i11]Jiawen Shi, Yixin Liu, Pan Zhou, Lichao Sun:
BadGPT: Exploring Security Vulnerabilities of ChatGPT via Backdoor Attacks to InstructGPT. CoRR abs/2304.12298 (2023) - [i10]Yixin Liu, Hongsheng Hu
Watermarking Text Data on Large Language Models for Dataset Copyright Protection. CoRR abs/2305.13257 (2023) - [i9]Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun:
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR abs/2310.03128 (2023) - [i8]Yixin Liu, Chenrui Fan, Xun Chen, Pan Zhou, Lichao Sun:
GraphCloak: Safeguarding Task-specific Knowledge within Graph-structured Data from Unauthorized Exploitation. CoRR abs/2310.07100 (2023) - [i7]Yuanwei Wu, Xiang Li, Yixin Liu, Pan Zhou, Lichao Sun:
Jailbreaking GPT-4V via Self-Adversarial Attacks with System Prompts. CoRR abs/2311.09127 (2023) - [i6]Yixin Liu, Kaidi Xu, Xun Chen, Lichao Sun:
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise. CoRR abs/2311.13091 (2023) - [i5]Yixin Liu, Chenrui Fan, Yutong Dai, Xun Chen, Pan Zhou, Lichao Sun:
Toward Robust Imperceptible Perturbation against Unauthorized Text-to-image Diffusion-based Synthesis. CoRR abs/2311.13127 (2023) - [i4]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang:
Improving Faithfulness for Vision Transformers. CoRR abs/2311.17983 (2023) - 2022
- [i3]Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun
SEAT: Stable and Explainable Attention. CoRR abs/2211.13290 (2022) - 2021
- [j1]Yixin Liu
Conditional Automated Channel Pruning for Deep Neural Networks. IEEE Signal Process. Lett. 28: 1275-1279 (2021) - [i2]Yixin Liu, Jiaxin Guo, Jieyang Dong, Luoqian Jiang, Haoyuan Ouyang:
Priority prediction of Asian Hornet sighting report using machine learning methods. CoRR abs/2107.05465 (2021) - 2020
- [i1]Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen:
Conditional Automated Channel Pruning for Deep Neural Networks. CoRR abs/2009.09724 (2020)
Coauthor Index
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last updated on 2024-11-06 21:34 CET by the dblp team
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