Shaopeng Fu - RankMe

19 papers A* 3Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Suffix Jailbreak attacks with Prefix-Shared KV-cache. CoRR Xinhai Wang, Shaopeng Fu, Shu Yang, Liangyu Wang, Tianhang Zheng, Di Wang
2026	J	`jnl`	Concept-Based Dictionary Learning for Inference-Time Safety in Vision Language Action Models. CoRR Siqi Wen, Shu Yang, Shaopeng Fu, Jingfeng Zhang, Lijie Hu, Di Wang
2026	J	`jnl`	Understanding the Impact of Differentially Private Training on Memorization of Long-Tailed Data. CoRR Jiaming Zhang, Huanyi Xie, Meng Ding, Shaopeng Fu, Jinyan Liu, Di Wang
2025	J	`jnl`	"Short-length" Adversarial Training Helps LLMs Defend "Long-length" Jailbreak Attacks: Theoretical and Empirical Evidence. CoRR Shaopeng Fu, Liang Ding, Di Wang
2025	J	`jnl`	C CoRR Lijie Hu, Junchi Liao, Weimin Lyu, Shaopeng Fu, Tianhao Huang, Shu Yang, Guimin Hu, Di Wang
2025	J	`jnl`	Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. IEEE Trans. Inf. Theory Shaopeng Fu, Di Wang
2025	J	`jnl`	Understanding Private Learning From Feature Perspective. CoRR Meng Ding, Mingxi Lei, Shaopeng Fu, Shaowei Wang, Di Wang, Jinhui Xu
2024	J	`jnl`	Low-carbon building evaluation index system based on hierarchical analysis method. J. Comput. Methods Sci. Eng. Ya Zhou, Shaopeng Fu
2024	J	`jnl`	Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning Services. CoRR Shaopeng Fu, Xuexue Sun, Ke Qing, Tianhang Zheng, Di Wang
2024	A*	`conf`	Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. ICLR Shaopeng Fu, Di Wang
2023	J	`jnl`	Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. CoRR Shaopeng Fu, Di Wang
2022	A*	`conf`	Knowledge Removal in Sampling-based Bayesian Inference. ICLR Shaopeng Fu, Fengxiang He, Dacheng Tao
2022	J	`jnl`	Knowledge Removal in Sampling-based Bayesian Inference. CoRR Shaopeng Fu, Fengxiang He, Dacheng Tao
2022	J	`jnl`	Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
2022	A*	`conf`	Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao
2021	J	`jnl`	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
2021	J	`jnl`	Bayesian Inference Forgetting. CoRR Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao
2020	J	`jnl`	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
2020	J	`jnl`	Robustness, Privacy, and Generalization of Adversarial Training. CoRR Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao