Li, Linyi

27 publications

AAAI 2025 COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems Against Semantic Attacks Zijian Huang, Wenda Chu, Linyi Li, Chejian Xu, Bo Li

AAAI 2025 Certified Trustworthiness in the Era of Large Language Models Linyi Li

ICLR 2025 Collapsed Language Models Promote Fairness Jingxuan Xu, Wuyang Chen, Linyi Li, Yao Zhao, Yunchao Wei

AAAI 2025 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

ICLR 2024 COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits Mintong Kang, Nezihe Merve Gürel, Linyi Li, Bo Li

ICML 2024 Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li

NeurIPS 2024 InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu, Ziyue Hua, Guanghan Ning, Siwei Wang, Tao Xie, Hongxia Yang

AISTATS 2024 Pixel-Wise Smoothing for Certified Robustness Against Camera Motion Perturbations Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

NeurIPSW 2024 Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

TMLR 2023 Can Pruning Improve Certified Robustness of Neural Networks? Zhangheng Li, Tianlong Chen, Linyi Li, Bo Li, Zhangyang Wang

NeurIPSW 2023 FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data Wenda Chu, Chulin Xie, Boxin Wang, Linyi Li, Lang Yin, Arash Nourian, Han Zhao, Bo Li

ICLR 2022 COPA: Certifying Robust Policies for Offline Reinforcement Learning Against Poisoning Attacks Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

ICLR 2022 CROP: Certifying Robust Policies for Reinforcement Learning Through Functional Smoothing Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li

ICML 2022 Certifying Out-of-Domain Generalization for Blackbox Functions Maurice G Weber, Linyi Li, Boxin Wang, Zhikuan Zhao, Bo Li, Ce Zhang

NeurIPS 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition Mintong Kang, Linyi Li, Maurice Weber, Yang Liu, Ce Zhang, Bo Li

ICML 2022 Double Sampling Randomized Smoothing Linyi Li, Jiawei Zhang, Tao Xie, Bo Li

NeurIPS 2022 Fairness in Federated Learning via Core-Stability Bhaskar Ray Chaudhury, Linyi Li, Mintong Kang, Bo Li, Ruta Mehta

NeurIPS 2022 General Cutting Planes for Bound-Propagation-Based Neural Network Verification Huan Zhang, Shiqi Wang, Kaidi Xu, Linyi Li, Bo Li, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter

NeurIPS 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlaš, Ji Liu, Heng Guo, Ce Zhang, Bo Li

NeurIPS 2022 LOT: Layer-Wise Orthogonal Training on Improving L2 Certified Robustness Xiaojun Xu, Linyi Li, Bo Li

ICLR 2022 On the Certified Robustness for Ensemble Models and Beyond Zhuolin Yang, Linyi Li, Xiaojun Xu, Bhavya Kailkhura, Tao Xie, Bo Li

CoRL 2022 Robustness Certification of Visual Perception Models via Camera Motion Smoothing Hanjiang Hu, Zuxin Liu, Linyi Li, Jiacheng Zhu, Ding Zhao

ICML 2022 TPC: Transformation-Specific Smoothing for Point Cloud Models Wenda Chu, Linyi Li, Bo Li

AISTATS 2021 Nonlinear Projection Based Gradient Estimation for Query Efficient Blackbox Attacks Huichen Li, Linyi Li, Xiaojun Xu, Xiaolu Zhang, Shuang Yang, Bo Li

ICML 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation Jiawei Zhang, Linyi Li, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li

NeurIPS 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. Rubinstein, Ce Zhang, Bo Li

IJCAI 2019 Robustra: Training Provable Robust Neural Networks over Reference Adversarial Space Linyi Li, Zexuan Zhong, Bo Li, Tao Xie