Publications
Refereed Papers (Selected)
(Note: "†" marks the corresponding authors.)
Faithful Vision-Language Interpretation via Concept Bottleneck Models
[pdf]
Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, Di Wang
International Conference on Learning Representations (ICLR) 2024
Towards Test-Time Refusals via Concept Negation
[pdf]
Peiran Dong, Song Guo, Junxiao Wang†, Bingjie Wang, Jiewei Zhang, Ziming Liu
The Annual Conference on Neural Information Processing Systems (NeurIPS) 2023
PromptFL: Let Federated Participants Cooperatively Learn Prompts Instead of Models — Federated Learning in Age of Foundation Model
[pdf]
Tao Guo, Song Guo, Junxiao Wang†, Xueyang Tang, Wenchao Xu
IEEE Transactions on Mobile Computing (TMC) 2023
Investigating Trojan Attacks on Pre-trained Language Model-powered Database Middleware
[pdf]
Peiran Dong, Song Guo, Junxiao Wang†
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2023
PMR: Prototypical Modal Rebalance for Multimodal Learning
[pdf]
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
pFedPrompt: Learning Personalized Prompt for Vision-Language Models in Federated Learning
[pdf]
Tao Guo, Song Guo, Junxiao Wang†
The ACM Web Conference (WWW) 2023
Federated Unlearning: Guarantee the Right of Clients to Forget
[pdf]
Leijie Wu, Song Guo, Junxiao Wang†, Zicong Hong, Jie Zhang, Yaohong Ding
IEEE Network 2022
Efficient Integrity Authentication Scheme for Large-scale RFID Systems
[pdf]
Xin Xie, Xiulong Liu, Junxiao Wang, Song Guo, Heng Qi, Keqiu Li
IEEE Transactions on Mobile Computing (TMC) 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
[pdf]
Rui Zhang, Song Guo, Junxiao Wang†, Xin Xie, Dacheng Tao
International Joint Conference on Artificial Intelligence (IJCAI) 2022
Federated Unlearning via Class-Discriminative Pruning
[pdf]
Junxiao Wang, Song Guo, Xin Xie, Heng Qi
The ACM Web Conference (WWW) 2022
Protect Privacy from Gradient Leakage Attack in Federated Learning
[pdf]
Junxiao Wang, Song Guo, Xin Xie, Heng Qi
IEEE International Conference on Computer Communications (INFOCOM) 2022
Click-UP: Toward the Software Upgrade of Click-Based Modular Network Function
[pdf]
Junxiao Wang, Heng Qi, Keqiu Li, Steve Uhlig
IEEE Systems Journal (ISJ) 2020
CLICK-UP: Towards Software Upgrades of Click-driven Stateful Network Elements
[pdf]
Junxiao Wang, Yuchen Huang, Heng Qi, Keqiu Li, Steve Uhlig
ACM SIGCOMM Conference 2018 (Demo)
Manuscripts
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
[pdf]
Leijie Wu, Song Guo, Junxiao Wang, Zicong Hong, Jie Zhang, Jingren Zhou
arXiv:2306.01431, 2023
DualMix: Unleashing the Potential of Data Augmentation for Online Class-Incremental Learning
[pdf]
Yunfeng Fan, Wenchao Xu, Haozhao Wang, Jiaqi Zhu, Junxiao Wang, Song Guo
arXiv:2303.07864, 2023
Demystify Self-Attention in Vision Transformers from a Semantic Perspective: Analysis and Application
[pdf]
Leijie Wu, Song Guo, Yaohong Ding, Junxiao Wang, Wenchao Xu, Richard Yida Xu, Jie Zhang
arXiv:2211.08543, 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers
[pdf]
Jinyu Chen, Wenchao Xu, Song Guo, Junxiao Wang, Jie Zhang, Haozhao Wang
arXiv:2211.08025, 2022
Vertical Machine Unlearning: Selectively Removing Sensitive Information From Latent Feature Space
[pdf]
Tao Guo, Song Guo, Jiewei Zhang, Wenchao Xu, Junxiao Wang
arXiv:2202.13295, 2022
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