Sisheng Liang

Sisheng Liang

Ph.D, Computer Science

Publications

  • Liang, Sisheng, Zhengxiong Li, Zihao Zhan, and Zhenkai Zhang. “FanBleed: Stealing Your Secrets via Observing Your Cooling Fan.” In 2025 IEEE International Symposium on Hardware Oriented Security and Trust (HOST), pp. 123-134. IEEE, 2025.(*BEST Paper Finalists)

  • Mohammed Aldeen, Sisheng Liang, Zhenkai Zhang, Linke Guo, Zheng Song, Long Cheng. ”EMMasker: EM Obfuscation Against Website Fingerprinting”, In Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb), 2024.(*Distinguished Paper Runner-up Award)

  • Liang, Sisheng, Zhenxiong Li, and Zhenkai Zhang. “mmFingerprint: A New Application Fingerprinting Technique via mmWave Sensing and Its Use in Rowhammer Detection” In International Conference on Security and Privacy in Cyber-Physical Systems and Smart Vehicles (SmartSP), 2023.

  • Zhan, Zihao, Zhenkai Zhang, Sisheng Liang, Fan Yao, and Xenofon Koutsoukos. “Graphics peeping unit: Exploiting em side-channel information of gpus to eavesdrop on your neighbors.” In 2022 IEEE Symposium on Security and Privacy (S&P), pp. 1440-1457. IEEE, 2022.

  • Liang, Sisheng, Zihao Zhan, Fan Yao, Long Cheng, and Zhenkai Zhang. “Clairvoyance: Exploiting Far-field EM Emanations of GPU to” See” Your DNN Models through Obstacles at a Distance.” In 16th IEEE Workshop on Offensive Technologies(WOOT), pp. 312-322. IEEE, 2022.

  • Zhang, Zhenkai, Sisheng Liang, Fan Yao, and Xing Gao. “Red alert for power leakage: Exploiting intel rapl-induced side channels.” In Proceedings of the 2021 ACM Asia Conference on Computer and Communications Security (Asia CCS), pp. 162-175. 2021.

  • Yang, Zhou, Zhenhe Pan, Sisheng Liang, and Fang Jin. “Not All Areas Are Equal: Detecting Thoracic Disease With ChestWNet.” In 2020 IEEE International Conference on Big Data (Big Data), pp. 3447-3452. IEEE, 2020.

  • Liang, Sisheng, Zhou Yang, Fang Jin, and Yong Chen. “Data centers job scheduling with deep reinforcement learning.” In Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, Proceedings, Part II 24, pp. 906-917. Springer International Publishing, 2020.

  • Liang, Sisheng, Long Nguyen, and Fang Jin. “A multi-variable stacked long-short term memory network for wind speed forecasting.” In IEEE International Conference on Big Data (Big Data workshop). IEEE, 2018.