News

14. September 2022
Two papers accpeted in NeurIPS’22

2. September 2022
Francesco Croce will give an invited talk on test-time defense on Sept. 7th.

31. August 2022
Dr. Sijia Liu is grateful to receive a Robust Intelligence (RI) Core Small Grant Award from NSF as the PI.

4. August 2022
Grateful to receive the Best Paper Runner-Up Award at UAI’22 in recognition of our work Distributed Adversarial Training to Robustify Deep Neural Networks at Scale.

16. May 2022
One paper accepted in UAI’22.

15. May 2022
Five papers accepted in ICML’22 : Bi-level adversarial training ; Winning lottery tickets from robust pretraining; Pruning helps certified robustness; Contrastive learning theory; and Generalization theory of GCN.

20. April 2022
One paper accepted in IJCAI’22.

1. April 2022
CFP: The 1st Workshop on New Frontiers in Adversarial Machine Learning at ICML’22 (AdvML-Frontiers@ICML’22).

11. March 2022
Dr. Sijia Liu is grateful to receive a gift funding from Cisco Research as the PI.

4. March 2022
Two papers accepted in CVPR’22. Congratulations to Yihua Zhang for his first CVPR paper!

28. February 2022
Aochuan(Arthur) Chen will join us in Fall 2022 – welcome Arthur!

21. January 2022
Five accepted papers in ICLR’22, Reverse Engineering of Adversaries, Black-Box Defense(spotlight), Learning to Optimize, Self-Training Theory, Distributed Learning. Congratulations to Yimeng Zhang, Yuguang Yao, Jianghan Jia for their first ICLR papers!

15. January 2022
Our work on interpreting and advancing adversarial training via bi-level optimization is now available on arXiv; equally contributed by Yihua Zhang (MSU) and Guanhua Zhang (UCSB).

15. October 2021
Dr. Sijia Liu receives a DARPA IP2 AIE Grant as a Co-PI.

28. September 2021
Five papers accepted in NeurIPS’21.

19. May 2021
Our MSU-NEU team (with PI Xiaoming Liu and co-PI Xue Lin) entered the Phase 2 of DARPA AIE RED.

13. May 2021
One paper accepted in ICML’21