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Tianlin Li
Tianlin Li
Nanyang Technological University
Подтвержден адрес электронной почты в домене e.ntu.edu.sg - Главная страница
Название
Процитировано
Процитировано
Год
Interpreting and improving adversarial robustness of deep neural networks with neuron sensitivity
C Zhang, A Liu, X Liu, Y Xu, H Yu, Y Ma, T Li
IEEE Transactions on Image Processing 30, 1291-1304, 2020
1302020
Npc: N euron p ath c overage via characterizing decision logic of deep neural networks
X Xie*, T Li*, J Wang, L Ma, Q Guo, F Juefei-Xu, ...
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-27, 2022
672022
Badedit: Backdooring large language models by model editing
Y Li, T Li, K Chen, J Zhang, S Liu, W Wang, T Zhang, Y Liu
arXiv preprint arXiv:2403.13355, 2024
442024
Knowledge consistency between neural networks and beyond
R Liang*, T Li*, L Li, J Wang, Q Zhang (* denotes equal contribution)
ICLR 2020, 2019
402019
Jailguard: A universal detection framework for llm prompt-based attacks
X Zhang, C Zhang, T Li, Y Huang, X Jia, M Hu, J Zhang, Y Liu, S Ma, ...
arXiv preprint arXiv:2312.10766, 2024
39*2024
Personalization as a shortcut for few-shot backdoor attack against text-to-image diffusion models
Y Huang, F Juefei-Xu, Q Guo, J Zhang, Y Wu, M Hu, T Li, G Pu, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21169 …, 2024
34*2024
Understanding adversarial robustness via critical attacking route
T Li, A Liu, X Liu, Y Xu, C Zhang, X Xie
Information Sciences 547, 568-578, 2021
282021
On the robustness of segment anything
Y Huang, Y Cao, T Li, F Juefei-Xu, D Lin, IW Tsang, Y Liu, Q Guo
arXiv preprint arXiv:2305.16220, 2023
242023
Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation
C Wang, J Zhang, Y Feng, T Li, W Sun, Y Liu, X Peng
arXiv preprint arXiv:2401.06391, 2024
212024
Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing
Y Xiao, A Liu, T Li, X Liu
ISSTA 2023, 2023
212023
FAIRER: fairness as decision rationale alignment
T Li, Q Guo, A Liu, M Du, Z Li, Y Liu
International Conference on Machine Learning, 19471-19489, 2023
162023
FedMut: Generalized Federated Learning via Stochastic Mutation
M Hu, Y Cao, A Li, Z Li, C Liu, T Li, M Chen, Y Liu
Proceedings of the AAAI Conference on Artificial Intelligence 38 (11), 12528 …, 2024
142024
Learning to Locate and Describe Vulnerabilities
J Zhang, S Liu, X Wang, T Li, Y Liu
2023 38th IEEE/ACM International Conference on Automated Software …, 2023
112023
Faire: Repairing fairness of neural networks via neuron condition synthesis
T Li, X Xie, J Wang, Q Guo, A Liu, L Ma, Y Liu
ACM Transactions on Software Engineering and Methodology 33 (1), 1-24, 2023
102023
Fairness via Group Contribution Matching.
T Li, Z Li, A Li, M Du, A Liu, Q Guo, G Meng, Y Liu
IJCAI, 436-445, 2023
10*2023
MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation
G Wang, Y Li, Y Liu, G Deng, T Li, G Xu, Y Liu, H Wang, K Wang
Proceedings of the 2024 IEEE/ACM First International Conference on AI …, 2024
82024
Purifying large language models by ensembling a small language model
T Li, Q Liu, T Pang, C Du, Q Guo, Y Liu, M Lin
arXiv preprint arXiv:2402.14845, 2024
82024
Improving Deepfake Detection Generalization by Invariant Risk Minimization
Z Yin, J Wang, Y Xiao, H Zhao, T Li, W Zhou, A Liu, X Liu
IEEE Transactions on Multimedia, 2024
82024
Your Large Language Model is Secretly a Fairness Proponent and You Should Prompt it Like One
T Li, X Zhang, C Du, T Pang, Q Liu, Q Guo, C Shen, Y Liu
arXiv preprint arXiv:2402.12150, 2024
62024
Compromising embodied agents with contextual backdoor attacks
A Liu, Y Zhou, X Liu, T Zhang, S Liang, J Wang, Y Pu, T Li, J Zhang, ...
arXiv preprint arXiv:2408.02882, 2024
52024
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Статьи 1–20