Lou, Jian

21 publications

ICML 2025 Assessing Safety Risks and Quantization-Aware Safety Patching for Quantized Large Language Models Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

ICML 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-Off Yuecheng Li, Lele Fu, Tong Wang, Jian Lou, Bin Chen, Lei Yang, Jian Shen, Zibin Zheng, Chuan Chen

IJCAI 2025 Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong-Kyu Lee, Qiuchen Zhang, Carl Yang, Jian Lou, Li Xiong

ICML 2025 PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation Based Large Vision-Language Models Chenyang Zhang, Xiaoyu Zhang, Jian Lou, Kai Wu, Zilong Wang, Xiaofeng Chen

AAAI 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity Wenjie Wang, Pengfei Tang, Jian Lou, Yuanming Shao, Lance Waller, Yi-an Ko, Li Xiong

CVPR 2024 Physical Backdoor: Towards Temperature-Based Backdoor Attacks in the Physical World Wen Yin, Jian Lou, Pan Zhou, Yulai Xie, Dan Feng, Yuhua Sun, Tailai Zhang, Lichao Sun

NeurIPS 2024 Rapid Plug-in Defenders Kai Wu, Yujian Betterest Li, Jian Lou, Xiaoyu Zhang, Handing Wang, Jing Liu

AAAI 2024 Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics Lanlan Chen, Kai Wu, Jian Lou, Jing Liu

NeurIPS 2023 CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation Pengyun Zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren

NeurIPS 2023 Certified Minimax Unlearning with Generalization Rates and Deletion Capacity Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren

ICCV 2023 Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen

ECML-PKDD 2023 Interpretation Attacks and Defenses on Predictive Models Using Electronic Health Records Fereshteh Razmi, Jian Lou, Yuan Hong, Li Xiong

ICCV 2023 MUter: Machine Unlearning on Adversarially Trained Models Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin

ICCV 2021 Integer-Arithmetic-Only Certified Robustness for Quantized Neural Networks Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi

IJCAI 2021 Private Stochastic Non-Convex Optimization with Improved Utility Rates Qiuchen Zhang, Jing Ma, Jian Lou, Li Xiong

AAAI 2018 Uplink Communication Efficient Differentially Private Sparse Optimization with Feature-Wise Distributed Data Jian Lou, Yiu-ming Cheung

MLJ 2017 Proximal Average Approximated Incremental Gradient Descent for Composite Penalty Regularized Empirical Risk Minimization Yiu-ming Cheung, Jian Lou

AAAI 2016 Multi-Defender Strategic Filtering Against Spear-Phishing Attacks Aron Laszka, Jian Lou, Yevgeniy Vorobeychik

IJCAI 2015 Efficient Generalized Conditional Gradient with Gradient Sliding for Composite Optimization Yiu-ming Cheung, Jian Lou

IJCAI 2015 Equilibrium Analysis of Multi-Defender Security Games Jian Lou, Yevgeniy Vorobeychik

ACML 2015 Proximal Average Approximated Incremental Gradient Method for Composite Penalty Regularized Empirical Risk Minimization Yiu-ming Cheung, Jian Lou