Selected Publications
- Boxin Wang*, Chejian Xu*, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li.
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models.
(NeurIPS 2021, Oral presentation, 3.3% accepted rate)
[Leaderboard]
[BibTeX]
@inproceedings{wang2021adversarial, title={Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models}, author={Wang, Boxin and Xu, Chejian and Wang, Shuohang and Gan, Zhe and Cheng, Yu and Gao, Jianfeng and Awadallah, Ahmed Hassan and Li, Bo}, booktitle={Advances in Neural Information Processing Systems}, year={2021} }
- Linyi Li, Jiawei Zhang, Tao Xie, Bo Li.
Double Sampling Randomized Smoothing.
(ICML 2022)
[BibTeX]
@inproceedings{li2022dsrs, title={Double Sampling Randomized Smoothing}, author={Li, Linyi and Zhang, Jiawei and Xie, Tao and Li, Bo}, booktitle={International Conference on Machine Learning}, year={2022} }
- Wenda Chu, Linyi Li, Bo Li.
TPC: Transformation-Specific Smoothing for Point Cloud Models.
(ICML 2022)
[BibTeX]
@inproceedings{li2022tpc, title={TPC: Transformation-Specific Smoothing for Point Cloud Models}, author={Chu, Wenda and Li, Linyi and Li, Bo}, booktitle={International Conference on Machine Learning}, year={2022} }
- Xiaojun Xu*, Jacky Zhang*, Evelyn Ma, Hyun Ho Son, Sanmi Koyejo, Bo Li.
Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization.
(ICML 2022)
[BibTeX]
@inproceedings{Xu2022adv, title={Adversarially Robust Models may not Transfer Better: Sufficient Conditions for Domain Transferability from the View of Regularization}, author={Xu, Xiaojun and Zhang, Jacky and Ma Evelyn and Son, Hyun Ho and Koyejo, Sanmi and Li, Bo}, booktitle={International Conference on Machine Learning}, year={2022} }
- Boxin Wang*, Fan Wu*, Yunhui Long*, Luka Rimanic, Ce Zhang, Bo Li.
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation. (CCS 2021)
[BibTeX]
@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} }
- Zhuolin Yang*, Linyi Li*, Xiaojun Xu*, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li.
TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness.
(NeurIPS 2021)
[BibTeX]
@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} }
- Chulin Xie, Minghao Chen, Pin-Yu Chen, Bo Li.
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks. (ICML 2021)
[BibTeX]
@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} }
- Linyi Li*, Maurice Weber*, Xiaojun Xu, Luka Rimanic, Bhavya Kailkhura, Tao Xie, Ce Zhang, Bo Li.
TSS: Transformation-Specific Smoothing for Robustness Certification. (CCS 2021)
[BibTeX]
@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} }
- Fan Wu, Linyi Li, Zijian Huang, Yevgeniy Vorobeychik, Ding Zhao, Bo Li.
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.
(ICLR 2022) [Leaderboard]
[BibTeX]
@inproceedings{wu2022crop, title={CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing}, author={Wu, Fan and Li, Linyi and Huang, Zijian and Vorobeychik, Yevgeniy and Zhao, Ding and Li, Bo}, booktitle={International Conference on Learning Representations}, year={2022} }
- Nezihe Merve Grel*, Xiangyu Qi*, Luka Rimanic, Ce Zhang, Bo Li.
Knowledge-Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks. (ICML 2021)
[BibTeX]
@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} }
- Haoxiang Wang, Han Zhao, Bo Li.
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation. (ICML 2021)
[BibTeX]
@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} }
- Fan Wu, Yunhui Long, Ce Zhang, Bo Li.
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis. (IEEE Symposium on Security and Privacy (Oakland), 2022)
[BibTeX]
@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} }
- Yunhui Long*, Boxin Wang*, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li.
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators.
(NeurIPS 2021)
[BibTeX]
@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} }
- Jiawei Zhang*, Linyi Li*, Huichen Li, Xiaolu Zhang, Shuang Yang, Bo Li.
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation. (ICML 2021)
[BibTeX]
@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} }
- Kaizhao Liang*, Jacky Zhang*, Boxin Wang, Zhuolin Yang, Sanmi Koyejo, Bo Li.
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability. (ICML 2021)
[BibTeX]
@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} }
- Yulong Cao, Ningfei Wang, Chaowei Xiao, Dawei Yang, Jin Fang, RuigangYang, Qi Alfred Chen, Mingyan Liu, Bo Li.
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks. (IEEE Symposium on Security and Privacy (Oakland), 2021)
[BibTeX]
@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} }
- Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li. Detecting AI Trojans Using Meta Neural Analysis. (IEEE
Symposium on Security and Privacy (Oakland, 2020))
[BibTeX]
@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} }
- Chong Xiang, Charles R. Qi, Bo Li. "Generating 3D Adversarial
Point Clouds". (CVPR 2019)[BibTeX]
@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} }