Yang " PDiff: Semantic-based Patch Presence Testing for Downstream Kernels", Proceedings of the 27th ACM Conference on Computer and Communications Security (CCS), Orlando, US, November 2020.ĭai, J., Jiang, Z., Zhang, Y., Zhou, Y., Chen, J, Zhang, X., Tan, X., Yang, M., Xing, X. (*=equal contribution)Ĭhen, Y., Lin, Z., Xing, X., " A Systematic Study of Elastic Objects in Kernel Exploitation", in Proceedings of the 27th ACM Conference on Computer and Communications Security (CCS), Orlando, US, November 2020. Liang, J.(*), Guo, W.(*), Luo, T., Honavar, V., Wang, G., Xing, X., " FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data", Proceedings of the Network and Distributed System Security Symposium (NDSS), US, February 2021. " Adversarial Policy Training against Deep Reinforcement Learning", Proceedings of the 30th USENIX Security Symposium (USENIX Security), Vancouver, Canada, August 2021. Yang, L., Guo, W., Hao, Q., Ciptadi, A., Ahmadzadeh, A., Xing, X., Wang, G., " CADE: Detecting and Explaining Concept Drift Samples for Security Applications", Proceedings of the 30th USENIX Security Symposium (USENIX Security), Vancouver, Canada, August 2021. Wang, L., Javed, Z., Wu, X., Guo, W., Xing, X., Song, D., " BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning", Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI), Virtual Event, August 2021.ĭai, J., Zhang, Y., Xu, H., Lyu, H., Wu, Z., Xing, X., Yang, M., " Facilitating Vulnerability Assessment through PoC Migration", Proceedings of the 28th ACM Conference on Computer and Communications Security (CCS), Virtual Event, November 2021. Xie, X., Guo, W., Ma, L., Le, W., Wang, J., Zhou, L., Liu, Y., Xing, X., " Automatic RNN Repair via Model-based Analysis", Proceedings of the 38th International Conference on Machine Learning (ICML), Virtual Event, July 2021. Lu, Y., Guo, W., Xing, X., Noble, W., " DANCE: Enhancing saliency maps using decoys", Proceedings of the 38th International Conference on Machine Learning (ICML), Virtual Event, July 2021. Guo, W., Wu, X., Huang, S., Xing, X., " Adversarial Policy Learning in Two-party Competitive Games", Proceedings of the 38th International Conference on Machine Learning (ICML), Virtual Event, December 2021. Guo, W., Wu, X., Khan, U., Xing, X., " EDGE: Explaining Deep Reinforcement Learning Policies", Proceedings of the 35th Annual Conference on Neural Information Processing Systems (NeurIPS), Virtual Event, July 2021. Luo, T., Ying, K, Xing, X., Liu, L., " Demystify AI Security Products With a Universal Pluggable XAI Translator", Blackhat USA, Virtual Event, August 2021. Lin, Z., Chen, Y., Xing, X., Li, K., " Your Trash Kernel Bug, My Precious 0-day", Blackhat Europe, Virtual Event, November 2021.Ĭhen, Y., Lin, Z, Xing, X., " A General Approach to Bypassing Many Kernel Protections and its Mitigation", Blackhat Asia, Virtual Event, May 2021. Mu, D., Wu, Y., Chen, Y., Lin, Z., Yu, C., Wang, G., Xing, X., " An In-depth Analysis of Duplicated Linux Kernel Bug Reports", Proceedings of the Network and Distributed System Security Symposium (NDSS), US, February 2022. Security and Privacy (IEEE S&P), Virtual Event, May 2022. Lin, Z., Chen, Y., Mu, D., Yu, C., Wu, Y., Li, K., Xing, X., " GREBE: Unveiling Exploitation Potential for Linux Kernelīugs", Proceedings of the 43rd IEEE Symposium on Jun Xu (PhD Alumni) (2015.8 - 2018.6) (Penn State Alumni Association Dissertation Award) Wenbo Guo (PhD Student) (2017.8 - ) (Awarded IBM Fellowship 2020) (Facebook/Baidu Fellowship Finalist 2020)ĭongliang Mu (Visiting Scholar) (2016.3 - 2020.7) Yueqi Chen (PhD Student) (2017.8 - ) (Awarded IBM Fellowship 2020)
students are recognized by presitigious awards, such as IBM/Facebook/Baidu fellowship, best paper awards, and dissertation awards, etc. On, over the past 5 years (2016-2020), I ranked the top 5 in cybersecurity field (see here) Last year (2019), I ranked the 2nd on (see here). in Computer Science from Georgia Tech under the supervision of Dr. My research interest includes OS/AI security. I am currently an Assistant Professor in the College of Information Sciences and Technology at the Pennsylvania State Universitym and will join Northwestern University as an Associate Professor in Jan. (During the COVID-19 pandemic, remote internship opportunities are also available.)
We provide full financial support for our PhDs and interns. students and undergraduate/graduate research interns who share my academic interests and have a solid background in OS or system/software security or statistics or PL.
To prospective students: I am looking for multiple Ph.D.