Lu Lin
21 papers · 2015–2026 · 9 venues · across top CS/AI venues
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Research topics
Machine Learning
(15)
Artificial Intelligence
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Core AI
(11)
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(10)
Deep Learning
(9)
Core Methods
(6)
Architectures
(5)
Optimization & Theory
(4)
Computer Science
(2)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
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(2)
Keywords
large language model
(5)
adversarial attack
(4)
graph neural network
(3)
backdoor attack
(3)
model alignment
(2)
adversarial learning
(2)
derivative estimation
(2)
gradient compression
(2)
jailbreak attack
(2)
federated learning
(2)
nonparametric regression
(2)
hallucination mitigation
(2)
distributed learning
(1)
preference optimization
(1)
text generation
(1)
in-context learning
(1)
stochastic gradient descent
(1)
stochastic optimization
(1)
factual accuracy
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distributed optimization
(1)
Papers
GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing
ACL 2026
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
ICML 2025
JoPA: Explaining Large Language Modelβs Generation via Joint Prompt Attribution
ACL 2025
Monitoring Decoding: Mitigating Hallucination via Evaluating the Factuality of Partial Response during Generation
ACL 2025
Phi: Preference Hijacking in Multi-modal Large Language Models at Inference Time
EMNLP 2025
"Why Is There a Tumor?": Tell Me the Reason, Show Me the Evidence
ICML 2025
WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response
NAACL 2025
Backdoor Contrastive Learning via Bi-level Trigger Optimization
ICLR 2024
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
ACL 2024
Graph Adversarial Diffusion Convolution
ICML 2024
Jailbreak Open-Sourced Large Language Models via Enforced Decoding
ACL 2024
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
NeurIPS 2024
SCTrans: Multi-scale scRNA-seq Sub-vector Completion Transformer for Gene-selective Cell Type Annotation
IJCAI 2024
A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning
NeurIPS 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
ICML 2023
Graph Contrastive Backdoor Attacks
ICML 2023
Spectral Augmentation for Self-Supervised Learning on Graphs
ICLR 2023
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization
AISTATS 2022
Communication-Efficient Adaptive Federated Learning
ICML 2022
Robust Estimation of Derivatives Using Locally Weighted Least Absolute Deviation Regression
JMLR 2019
Derivative Estimation Based on Difference Sequence via Locally Weighted Least Squares Regression
JMLR 2015