Gao, Xitong

17 publications

CVPR 2025 A3: Few-Shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment Xuan Wang, Xitong Gao, Dongping Liao, Tianrui Qin, Yu-liang Lu, Cheng-zhong Xu

NeurIPS 2025 FLiP: Towards Comprehensive and Reliable Evaluation of Federated Prompt Learning Dongping Liao, Xitong Gao, Cheng-zhong Xu

NeurIPS 2025 Lie Detector: Unified Backdoor Detection via Cross-Examination Framework Xuan Wang, Siyuan Liang, Dongping Liao, Han Fang, Aishan Liu, Xiaochun Cao, Yu-liang Lu, Ee-Chien Chang, Xitong Gao

AAAI 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning Dongping Liao, Xitong Gao, Yabo Xu, Cheng-Zhong Xu

TMLR 2024 APBench: A Unified Availability Poisoning Attack and Defenses Benchmark Tianrui Qin, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-zhong Xu

AAAI 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization Dongping Liao, Xitong Gao, Chengzhong Xu

ICMLW 2024 Optimised Grouped-Query Attention Mechanism for Transformers Yuang Chen, Cheng Zhang, Xitong Gao, Robert D. Mullins, George Anthony Constantinides, Yiren Zhao

ICMLW 2024 Unlocking the Global Synergies in Low-Rank Adapters Zixi Zhang, Cheng Zhang, Xitong Gao, Robert D. Mullins, George Anthony Constantinides, Yiren Zhao

CVPR 2023 Adaptive Channel Sparsity for Federated Learning Under System Heterogeneity Dongping Liao, Xitong Gao, Yiren Zhao, Cheng-Zhong Xu

ICCV 2023 AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu

ACML 2023 Revisiting Structured Dropout Yiren Zhao, Oluwatomisin Dada, Robert Mullins, Xitong Gao

NeurIPS 2022 MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack Yunrui Yu, Xitong Gao, Cheng-Zhong Xu

NeurIPS 2022 Rapid Model Architecture Adaption for Meta-Learning Yiren Zhao, Xitong Gao, I Shumailov, Nicolo Fusi, Robert Mullins

CVPR 2021 LAFEAT: Piercing Through Adversarial Defenses with Latent Features Yunrui Yu, Xitong Gao, Cheng-Zhong Xu

ICLR 2020 Pay Attention to Features, Transfer Learn Faster CNNs Kafeng Wang, Xitong Gao, Yiren Zhao, Xingjian Li, Dejing Dou, Cheng-Zhong Xu

ICLR 2019 Dynamic Channel Pruning: Feature Boosting and Suppression Xitong Gao, Yiren Zhao, Łukasz Dudziak, Robert Mullins, Cheng-zhong Xu

NeurIPS 2019 Focused Quantization for Sparse CNNs Yiren Zhao, Xitong Gao, Daniel Bates, Robert Mullins, Cheng-Zhong Xu