Research
His research primarily focuses on software security, program analysis, ,machine learning for cybersecurity. He has published two ESI 1% highly cited papers. He enjoys developing novel ,beautiful solutions to software security issues in different architectures, especially native codes without a source.
Selected Publications See Full
Jianan Chen, Qin Hu, Fangtian Zhong. (2024) Unlearning Federal learning, European Conference on Artifical Intelligence (In Submission)
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Jiguo Yu. (2024) Helping Jeremy to Analyze Malware: A Usability-Optimized Malware Analysis, IEEE Transactions on Computers (In Submission)
Fangtian Zhong, Qin Hu, Xiuzhen Cheng. (2024) Exploring Malware Analysis: An Insider’s Perspective, The ACM Conference on Computer and Communications Security (In Submission)
Fangtian Zhong, Qin Hu, Yili Jiang, Jiaqi Huang, Cheng Zhang, Dinghao Wu✉. (2024) BBSS: Scalable Malware Analysis Based on Basic Blocks, IEEE Transactions on Information Forensics and Security
Sabrina Perry, Yili Jiang, Fangtian Zhong, Chong Yu. (2024) Detecting Poisoning Attacks with DynaDetect, ISICN
Fangtian Zhong, Xiuzhen Cheng, Dongxiao Yu, Bei Gong, Shuaiwen Song, Jiguo Yu✉. (2023). MalFox: Camouflaged Adversarial Malware Example Generation Based on Conv-GANs Against Black-Box Detectors. IEEE Transactions on Computers
Fangtian Zhong, Pengfei Hu✉, Guoming Zhang, Hong Li, Xiuzhen Cheng. (2022). Reinforcement learning based adversarial malware example generation against black-box detectors. Computers \& Security
Jiguo Yu, Suhui Liu✉, Minghui Xu, Hechuan Guo, Fangtian Zhong, Wei Cheng(2022). An Efficient Revocable ,Searchable MA-ABE Scheme with Blockchain assistance for C-IoT. IEEE Internet of Things Journal
Zekai Chen, Fangtian Zhong, Qi Luo, Xiao Zhang, Yanwei Zheng✉. (2022). EdgeViT: Efficient Visual Modeling for Edge Computing . International Conference on Wireless Algorithm, Systems, ,Applications
Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng✉. (2022) Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification. IEEE Transactions on Computers
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng✉. (2021) DCAP: Deep Cross Attentional Product Network for User Response Prediction. Proceedings of the 30th ACM International Conference on Information ,Knowledge Management (CIKM ' 21)
Yizhen Jia, Fangtian Zhong✉, Arwa Alrawais, Bei Gong, Xiuzhen Cheng. (2020). Flowguard: An intelligent edge defense mechanism against IoT DDoS attacks. IEEE Internet of Things Journal