2025

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs
Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs

Zhangying Feng, Qianglong Chen, Ning Lu, Yongqian Li, Siqi Cheng, Shuangmu Peng, Duyu Tang, Shengcai Liu, Zhirui Zhang

Under review. 2025

[Paper]

Is PRM Necessary? Problem-Solving RL Implicitly Induces PRM Capability in LLMs

Zhangying Feng, Qianglong Chen, Ning Lu, Yongqian Li, Siqi Cheng, Shuangmu Peng, Duyu Tang, Shengcai Liu, Zhirui Zhang

Under review. 2025

[Paper]

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets
Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets

Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasets

Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang

International Conference on Machine Learning (ICML) 2025

[Paper] [Code]

Backdoor graph condensation
Backdoor graph condensation

Jiahao Wu, Ning Lu, Zeiyu Dai, Kun Wang, Wenqi Fan, Weiyu Chen, Shengcai Liu, Qing Li, Ke Tang

IEEE International Conference on Data Engineering (ICDE) 2025 Oral

[Paper] [Code]

Backdoor graph condensation

Jiahao Wu, Ning Lu, Zeiyu Dai, Kun Wang, Wenqi Fan, Weiyu Chen, Shengcai Liu, Qing Li, Ke Tang

IEEE International Conference on Data Engineering (ICDE) 2025 Oral

[Paper] [Code]

2024

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend

Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang

2024 IEEE Conference on Artificial Intelligence (CAI) 2024 Oral

[Paper]

Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend

Ning Lu, Shengcai Liu, Zhirui Zhang, Qi Wang, Haifeng Liu, Ke Tang

2024 IEEE Conference on Artificial Intelligence (CAI) 2024 Oral

[Paper]

Large Language Models can be Guided to Evade AI-generated Text Detection
Large Language Models can be Guided to Evade AI-generated Text Detection

Ning Lu, Shengcai Liu, Rui He, Qi Wang, Yew-Soon Ong, Ke Tang

Transactions on Machine Learning Research (TMLR) 2024

[Paper] [Code]

Large Language Models can be Guided to Evade AI-generated Text Detection

Ning Lu, Shengcai Liu, Rui He, Qi Wang, Yew-Soon Ong, Ke Tang

Transactions on Machine Learning Research (TMLR) 2024

[Paper] [Code]

2023

Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization

Shengcai Liu, Ning Lu, W Hong, C Qian, Ke Tang

ACM Transactions on Evolutionary Learning and Optimization 2023

[Paper]

Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization

Shengcai Liu, Ning Lu, W Hong, C Qian, Ke Tang

ACM Transactions on Evolutionary Learning and Optimization 2023

[Paper]

2021

Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack
Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack

Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang

IEEE/ACM Transactions on Audio, Speech, and Language Processing (TALSP, CCF-B) 2021

[Paper] [Code]

Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack

Shengcai Liu, Ning Lu, Cheng Chen, Ke Tang

IEEE/ACM Transactions on Audio, Speech, and Language Processing (TALSP, CCF-B) 2021

[Paper] [Code]