Selected Publications

@inproceedings{wu2022linkteller,
title={LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis},
author={Wu, Fan and Long, Yunhui and Zhang, Ce and Li, Bo},
booktitle={2022 IEEE Symposium on Security and Privacy (SP)},
year={2022}
}

@inproceedings{yang2021trs,
title={TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness},
author={Yang, Zhuolin and Li, Linyi and Xu, Xiaojun and Zuo, Shiliang and Chen, Qian and Zhou, Pan and Rubinstein, Benjamin I P and Zhang, Ce and Li, Bo},
booktitle={Advances in Neural Information Processing Systems},
year={2021}
}

@inproceedings{long2021g,
title={G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators},
author={Long, Yunhui and Wang, Boxin and Yang, Zhuolin and Kailkhura, Bhavya and Zhang, Aston and Gunter, Carl A and Li, Bo},
booktitle={Advances in Neural Information Processing Systems},
year={2021}
}

@inproceedings{grel2021knowledge,
title={Knowledge-Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks},
author={Grel, Nezihe Merve and Qi, Xiangyu and Rimanic, Luka and Zhang, Ce and Li, Bo},
booktitle={International Conference on Machine Learning},
year={2021}
}

@inproceedings{wang2021bridging,
title={Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation},
author={Wang, Haoxiang and Zhao, Han and Li, Bo},
booktitle={International Conference on Machine Learning},
year={2021}
}

@inproceedings{xie2021crfl,
title={CRFL: Certifiably Robust Federated Learning against Backdoor Attacks},
author={Xie, Chulin and Chen, Minghao and Chen, Pin-Yu and Li, Bo},
booktitle={International Conference on Machine Learning},
year={2021}
}

@inproceedings{zhang2021progressive,
title={Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation},
author={Zhang, Jiawei and Li, Linyi and Li, Huichen and Zhang, Xiaolu and Yang, Shuang and Li, Bo},
booktitle={International Conference on Machine Learning},
year={2021}
}

@inproceedings{liang2021uncovering,
title={Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability},
author={Liang, Kaizhao and Zhang, Jacky and Wang, Boxin and Yang, Zhuolin and Koyejo, Sanmi and Li, Bo},
booktitle={International Conference on Machine Learning},
year={2021}
}

@inproceedings{wang2021datalens,
title={DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation},
author={Wang, Boxin and Wu, Fan and Long, Yunhui and Rimanic, Luka and Zhang, Ce and Li, Bo},
booktitle={Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security},
year={2021}
}

@inproceedings{li2021tss,
title={TSS: Transformation-Specific Smoothing for Robustness Certification},
author={Li, Linyi and Weber, Maurice and Xu, Xiaojun and Rimanic, Luka and Kailkhura, Bhavya and Xie, Tao and Zhang, Ce and Li, Bo},
booktitle={Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security},
year={2021}
}

@INPROCEEDINGS{cao2021invisible,
author = {Y. Cao and N. Wang and C. Xiao and D. Yang and J. Fang and R. Yang and Q. Chen and M. Liu and B. Li},
booktitle = {2021 IEEE Symposium on Security and Privacy (SP)},
title = {Invisible for both Camera and LiDAR:  Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks},
year = {2021},
volume = {},
issn = {2375-1207},
pages = {1302-1320},
keywords = {},
doi = {10.1109/SP40001.2021.00076},
url = {https://doi.ieeecomputersociety.org/10.1109/SP40001.2021.00076},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {may}
}

@article{xu2019detecting,
  title={Detecting ai trojans using meta neural analysis},
  author={Xu, Xiaojun and Wang, Qi and Li, Huichen and Borisov, Nikita and Gunter, Carl A and Li, Bo},
  journal={arXiv preprint arXiv:1910.03137},
  year={2019}
}

@inproceedings{xiang2019generating,
  title={Generating 3d adversarial point clouds},
  author={Xiang, Chong and Qi, Charles R and Li, Bo},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={9136--9144},
  year={2019}
}