Song, Qifan

20 publications

TMLR 2026 Adversarial Vulnerability from On-Manifold Inseparability and Poor Off-Manifold Convergence Rajdeep Haldar, Yue Xing, Qifan Song, Guang Lin

NeurIPS 2025 Knowledge Distillation Detection for Open-Weights Models Qin Shi, Amber Yijia Zheng, Qifan Song, Raymond A. Yeh

NeurIPS 2025 LLM Safety Alignment Is Divergence Estimation in Disguise Rajdeep Haldar, Ziyi Wang, Guang Lin, Yue Xing, Qifan Song

AISTATS 2024 Better Representations via Adversarial Training in Pre-Training: A Theoretical Perspective Yue Xing, Xiaofeng Lin, Qifan Song, Yi Xu, Belinda Zeng, Guang Cheng

AISTATS 2024 Effect of Ambient-Intrinsic Dimension Gap on Adversarial Vulnerability Rajdeep Haldar, Yue Xing, Qifan Song

TMLR 2024 Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo Ziyi Wang, Yujie Chen, Qifan Song, Ruqi Zhang

AISTATS 2024 Fair Supervised Learning with a Simple Random Sampler of Sensitive Attributes Jinwon Sohn, Qifan Song, Guang Lin

AAAI 2024 Federated X-Armed Bandit Wenjie Li, Qifan Song, Jean Honorio, Guang Lin

AISTATS 2024 Personalized Federated X-Armed Bandit Wenjie Li, Qifan Song, Jean Honorio

UAI 2024 Support Recovery in Sparse PCA with General Missing Data Hanbyul Lee, Qifan Song, Jean Honorio

NeurIPSW 2023 Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo Ziyi Wang, Yujie Chen, Ruqi Zhang, Qifan Song

TMLR 2023 Optimum-Statistical Collaboration Towards General and Efficient Black-Box Optimization Wenjie Li, Chi-Hua Wang, Guang Cheng, Qifan Song

AISTATS 2022 Unlabeled Data Help: Minimax Analysis and Adversarial Robustness Yue Xing, Qifan Song, Guang Cheng

NeurIPS 2022 Phase Transition from Clean Training to Adversarial Training Yue Xing, Qifan Song, Guang Cheng

NeurIPS 2022 Support Recovery in Sparse PCA with Incomplete Data Hanbyul Lee, Qifan Song, Jean Honorio

NeurIPS 2022 Why Do Artificially Generated Data Help Adversarial Robustness Yue Xing, Qifan Song, Guang Cheng

AISTATS 2021 On the Generalization Properties of Adversarial Training Yue Xing, Qifan Song, Guang Cheng

AISTATS 2021 Predictive Power of Nearest Neighbors Algorithm Under Random Perturbation Yue Xing, Qifan Song, Guang Cheng

NeurIPS 2021 On the Algorithmic Stability of Adversarial Training Yue Xing, Qifan Song, Guang Cheng

NeurIPS 2020 Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee Jincheng Bai, Qifan Song, Guang Cheng